{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparing soundings from NCEP Reanalysis and various models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are going to plot the global, annual mean sounding (vertical temperature profile) from observations.\n",
    "\n",
    "Read in the necessary NCEP reanalysis data from the online server.\n",
    "\n",
    "The catalog is here: <https://psl.noaa.gov/psd/thredds/catalog/Datasets/ncep.reanalysis.derived/catalog.html>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "\n",
    "ncep_url = \"https://psl.noaa.gov/thredds/dodsC/Datasets/ncep.reanalysis.derived/\"\n",
    "ncep_air = xr.open_dataset( ncep_url + \"pressure/air.mon.1981-2010.ltm.nc\", decode_times=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "level = ncep_air.level\n",
    "lat = ncep_air.lat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take global averages and time averages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Tzon = ncep_air.air.mean(dim=('lon','time'))\n",
    "weight = np.cos(np.deg2rad(lat)) / np.cos(np.deg2rad(lat)).mean(dim='lat')\n",
    "Tglobal = (Tzon * weight).mean(dim='lat')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is code to make a nicely labeled sounding plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + 273.15, np.log(level/1000))\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/1000) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Global, annual mean sounding from NCEP Reanalysis', fontsize = 24)\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot( Tglobal + 273.15, -8*np.log(level/1000) );\n",
    "ax2.set_ylabel('Approx. height above surface (km)', fontsize=16 );\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now compute the Radiative Equilibrium solution for the grey-gas column model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import climlab\n",
    "from climlab import constants as const"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "climlab Process of type <class 'climlab.model.column.GreyRadiationModel'>. \n",
      "State variables and domain shapes: \n",
      "  Ts: (1,) \n",
      "  Tatm: (30,) \n",
      "The subprocess tree: \n",
      "Untitled: <class 'climlab.model.column.GreyRadiationModel'>\n",
      "   LW: <class 'climlab.radiation.greygas.GreyGas'>\n",
      "   SW: <class 'climlab.radiation.greygas.GreyGasSW'>\n",
      "   insolation: <class 'climlab.radiation.insolation.FixedInsolation'>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "col = climlab.GreyRadiationModel()\n",
    "print(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'flux_from_sfc': Field([0.]),\n",
       " 'flux_to_sfc': Field([0.]),\n",
       " 'flux_to_space': Field([0.]),\n",
       " 'absorbed': Field([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),\n",
       " 'absorbed_total': Field([0.]),\n",
       " 'emission': Field([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),\n",
       " 'emission_sfc': Field([0.]),\n",
       " 'flux_reflected_up': None}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col.subprocess['LW'].diagnostics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integrating for 365 steps, 365.2422 days, or 1 years.\n",
      "Total elapsed time is 0.9993368783782377 years.\n",
      "Surface temperature is [287.84577808] K.\n",
      "Net energy in to the column is [0.00165505] W / m2.\n"
     ]
    }
   ],
   "source": [
    "col.integrate_years(1)\n",
    "\n",
    "print(\"Surface temperature is \" + str(col.Ts) + \" K.\")\n",
    "print(\"Net energy in to the column is \" + str(col.ASR - col.OLR) + \" W / m2.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the radiative equilibrium temperature on the same plot with NCEP reanalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pcol = col.lev\n",
    "\n",
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + 273.15, np.log(level/1000), 'b-', col.Tatm, np.log( pcol/const.ps ), 'r-' )\n",
    "ax.plot( col.Ts, 0, 'ro', markersize=20 )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/1000) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue) and radiative equilibrium in grey gas model (red)', fontsize = 18)\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot( Tglobal + const.tempCtoK, -8*np.log(level/1000) );\n",
    "ax2.set_ylabel('Approx. height above surface (km)', fontsize=16 );\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now use convective adjustment to compute a Radiative-Convective Equilibrium temperature profile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "climlab Process of type <class 'climlab.model.column.RadiativeConvectiveModel'>. \n",
      "State variables and domain shapes: \n",
      "  Ts: (1,) \n",
      "  Tatm: (30,) \n",
      "The subprocess tree: \n",
      "Untitled: <class 'climlab.model.column.RadiativeConvectiveModel'>\n",
      "   LW: <class 'climlab.radiation.greygas.GreyGas'>\n",
      "   SW: <class 'climlab.radiation.greygas.GreyGasSW'>\n",
      "   insolation: <class 'climlab.radiation.insolation.FixedInsolation'>\n",
      "   convective adjustment: <class 'climlab.convection.convadj.ConvectiveAdjustment'>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "dalr_col = climlab.RadiativeConvectiveModel(adj_lapse_rate='DALR')\n",
    "print(dalr_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integrating for 730 steps, 730.4844 days, or 2.0 years.\n",
      "Total elapsed time is 1.9986737567564754 years.\n",
      "After 730.0 days of integration:\n",
      "Surface temperature is [283.040058] K.\n",
      "Net energy in to the column is [1.09588387e-06] W / m2.\n"
     ]
    }
   ],
   "source": [
    "dalr_col.integrate_years(2.)\n",
    "\n",
    "print(\"After \" + str(dalr_col.time['days_elapsed']) + \" days of integration:\")\n",
    "print(\"Surface temperature is \" + str(dalr_col.Ts) + \" K.\")\n",
    "print(\"Net energy in to the column is \" + str(dalr_col.ASR - dalr_col.OLR) + \" W / m2.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'timestep': 86400.0,\n",
       " 'water_depth': 1.0,\n",
       " 'albedo_sfc': 0.299,\n",
       " 'Q': 341.3,\n",
       " 'abs_coeff': 0.0001229,\n",
       " 'adj_lapse_rate': 'DALR'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dalr_col.param"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now plot this \"Radiative-Convective Equilibrium\" on the same graph:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + 273.15, np.log(level/1000), 'b-', col.Tatm, np.log( pcol/const.ps ), 'r-' )\n",
    "ax.plot( col.Ts, 0, 'ro', markersize=16 )\n",
    "ax.plot( dalr_col.Tatm, np.log( pcol / const.ps ), 'k-' )\n",
    "ax.plot( dalr_col.Ts, 0, 'ko', markersize=16 )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/1000) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue), RE (red) and dry RCE (black)', fontsize = 18)\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot( Tglobal + const.tempCtoK, -8*np.log(level/1000) );\n",
    "ax2.set_ylabel('Approx. height above surface (km)', fontsize=16 );\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The convective adjustment gets rid of the unphysical temperature difference between the surface and the overlying air.\n",
    "\n",
    "But now the surface is colder! Convection acts to move heat upward, away from the surface.\n",
    "\n",
    "Also, we note that the observed lapse rate (blue) is always shallower than $\\Gamma_d$ (temperatures decrease more slowly with height)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## \"Moist\" Convective Adjustment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To approximately account for the effects of latent heat release in rising air parcels, we can just adjust to a lapse rate that is a little shallow than $\\Gamma_d$.\n",
    "\n",
    "We will choose 6 K / km, which gets close to the observed mean lapse rate.\n",
    "\n",
    "We will also re-tune the longwave absorptivity of the column to get a realistic surface temperature of 288 K:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "climlab Process of type <class 'climlab.model.column.RadiativeConvectiveModel'>. \n",
      "State variables and domain shapes: \n",
      "  Ts: (1,) \n",
      "  Tatm: (30,) \n",
      "The subprocess tree: \n",
      "Untitled: <class 'climlab.model.column.RadiativeConvectiveModel'>\n",
      "   LW: <class 'climlab.radiation.greygas.GreyGas'>\n",
      "   SW: <class 'climlab.radiation.greygas.GreyGasSW'>\n",
      "   insolation: <class 'climlab.radiation.insolation.FixedInsolation'>\n",
      "   convective adjustment: <class 'climlab.convection.convadj.ConvectiveAdjustment'>\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rce_col = climlab.RadiativeConvectiveModel(adj_lapse_rate=6, abs_coeff=1.7E-4)\n",
    "print(rce_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integrating for 730 steps, 730.4844 days, or 2.0 years.\n",
      "Total elapsed time is 1.9986737567564754 years.\n",
      "After 730.0 days of integration:\n",
      "Surface temperature is [287.9049635] K.\n",
      "Net energy in to the column is [2.14745046e-06] W / m2.\n"
     ]
    }
   ],
   "source": [
    "rce_col.integrate_years(2.)\n",
    "\n",
    "print(\"After \" + str(rce_col.time['days_elapsed']) + \" days of integration:\")\n",
    "print(\"Surface temperature is \" + str(rce_col.Ts) + \" K.\")\n",
    "print(\"Net energy in to the column is \" + str(rce_col.ASR - rce_col.OLR) + \" W / m2.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now add this new temperature profile to the graph:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + 273.15, np.log(level/1000), 'b-', col.Tatm, np.log( pcol/const.ps ), 'r-' )\n",
    "ax.plot( col.Ts, 0, 'ro', markersize=16 )\n",
    "ax.plot( dalr_col.Tatm, np.log( pcol / const.ps ), 'k-' )\n",
    "ax.plot( dalr_col.Ts, 0, 'ko', markersize=16 )\n",
    "ax.plot( rce_col.Tatm, np.log( pcol / const.ps ), 'm-' )\n",
    "ax.plot( rce_col.Ts, 0, 'mo', markersize=16 )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/1000) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue), RE (red), dry RCE (black), and moist RCE (magenta)', fontsize = 18)\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot( Tglobal + const.tempCtoK, -8*np.log(level/1000) );\n",
    "ax2.set_ylabel('Approx. height above surface (km)', fontsize=16 );\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding stratospheric ozone"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our model has no equivalent of the stratosphere, where temperature increases with height. That's because our model has been completely transparent to shortwave radiation up until now.\n",
    "\n",
    "We can load some climatogical ozone data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (lat: 64, lev: 59, lon: 128, time: 12)\n",
       "Coordinates:\n",
       "  * lev        (lev) float64 0.2842 0.3253 0.3719 ... 849.5 959.0 1.004e+03\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * time       (time) float64 4.382e+04 4.384e+04 ... 4.412e+04 4.415e+04\n",
       "Data variables:\n",
       "    P0         float64 1.004e+05\n",
       "    date       (time) int32 19900116 19900214 19900316 ... 19901115 19901216\n",
       "    datesec    (time) int32 0 0 0 0 0 0 0 0 0 0 0 0\n",
       "    OZONE_old  (time, lat, lev, lon) float64 ...\n",
       "    OZONE      (time, lev, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:                     NCAR-CSM\n",
       "    Source:                          AMIP II (symmetric for APE project)\n",
       "    Written_By:                      olson\n",
       "    Date_Written:                    August 22 2003\n",
       "    Host:                            zen\n",
       "    Command:                         ncgen\n",
       "    history:                         Wed Jul 30 08:35:58 2008: ncrename -v OZ...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-35ba63b0-daba-4288-8aea-522247e125ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35ba63b0-daba-4288-8aea-522247e125ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 64</li><li><span class='xr-has-index'>lev</span>: 59</li><li><span class='xr-has-index'>lon</span>: 128</li><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90364b62-a48c-4ab9-afb8-e14b714ec725' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90364b62-a48c-4ab9-afb8-e14b714ec725' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2842 0.3253 ... 959.0 1.004e+03</div><input id='attrs-fec6a2f7-df8e-4a56-ac99-30adaf002b0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fec6a2f7-df8e-4a56-ac99-30adaf002b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57da03aa-5cdd-4bcc-a3f3-e09f915196ec' class='xr-var-data-in' type='checkbox'><label for='data-57da03aa-5cdd-4bcc-a3f3-e09f915196ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hybrid level at layer midpoints (1000*(A+B))</dd><dt><span>units :</span></dt><dd>hybrid_sigma_pressure</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([2.84191e-01, 3.25350e-01, 3.71936e-01, 4.24615e-01, 4.84153e-01,\n",
       "       5.51432e-01, 6.27490e-01, 7.13542e-01, 8.11039e-01, 9.21699e-01,\n",
       "       1.04757e+00, 1.19108e+00, 1.35511e+00, 1.54305e+00, 1.75891e+00,\n",
       "       2.00739e+00, 2.29403e+00, 2.62529e+00, 3.00884e+00, 3.45369e+00,\n",
       "       3.97050e+00, 4.57190e+00, 5.27278e+00, 6.09073e+00, 7.04636e+00,\n",
       "       8.16371e+00, 9.47075e+00, 1.10000e+01, 1.27894e+01, 1.48832e+01,\n",
       "       1.73342e+01, 2.02039e+01, 2.35659e+01, 2.75066e+01, 3.21283e+01,\n",
       "       3.75509e+01, 4.39150e+01, 5.13840e+01, 6.01483e+01, 7.04289e+01,\n",
       "       8.24830e+01, 9.66096e+01, 1.13155e+02, 1.32514e+02, 1.55122e+02,\n",
       "       1.81445e+02, 2.11947e+02, 2.47079e+02, 2.87273e+02, 3.32956e+02,\n",
       "       3.84573e+02, 4.42610e+02, 5.07601e+02, 5.80132e+02, 6.60837e+02,\n",
       "       7.50393e+02, 8.49521e+02, 9.58981e+02, 1.00369e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.812 5.625 ... 354.4 357.2</div><input id='attrs-1356d6ce-37a2-4dc8-a070-5eb0a516488b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1356d6ce-37a2-4dc8-a070-5eb0a516488b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfd2e478-e56e-4ed7-a7ef-9694f2159976' class='xr-var-data-in' type='checkbox'><label for='data-cfd2e478-e56e-4ed7-a7ef-9694f2159976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.    ,   2.8125,   5.625 ,   8.4375,  11.25  ,  14.0625,  16.875 ,\n",
       "        19.6875,  22.5   ,  25.3125,  28.125 ,  30.9375,  33.75  ,  36.5625,\n",
       "        39.375 ,  42.1875,  45.    ,  47.8125,  50.625 ,  53.4375,  56.25  ,\n",
       "        59.0625,  61.875 ,  64.6875,  67.5   ,  70.3125,  73.125 ,  75.9375,\n",
       "        78.75  ,  81.5625,  84.375 ,  87.1875,  90.    ,  92.8125,  95.625 ,\n",
       "        98.4375, 101.25  , 104.0625, 106.875 , 109.6875, 112.5   , 115.3125,\n",
       "       118.125 , 120.9375, 123.75  , 126.5625, 129.375 , 132.1875, 135.    ,\n",
       "       137.8125, 140.625 , 143.4375, 146.25  , 149.0625, 151.875 , 154.6875,\n",
       "       157.5   , 160.3125, 163.125 , 165.9375, 168.75  , 171.5625, 174.375 ,\n",
       "       177.1875, 180.    , 182.8125, 185.625 , 188.4375, 191.25  , 194.0625,\n",
       "       196.875 , 199.6875, 202.5   , 205.3125, 208.125 , 210.9375, 213.75  ,\n",
       "       216.5625, 219.375 , 222.1875, 225.    , 227.8125, 230.625 , 233.4375,\n",
       "       236.25  , 239.0625, 241.875 , 244.6875, 247.5   , 250.3125, 253.125 ,\n",
       "       255.9375, 258.75  , 261.5625, 264.375 , 267.1875, 270.    , 272.8125,\n",
       "       275.625 , 278.4375, 281.25  , 284.0625, 286.875 , 289.6875, 292.5   ,\n",
       "       295.3125, 298.125 , 300.9375, 303.75  , 306.5625, 309.375 , 312.1875,\n",
       "       315.    , 317.8125, 320.625 , 323.4375, 326.25  , 329.0625, 331.875 ,\n",
       "       334.6875, 337.5   , 340.3125, 343.125 , 345.9375, 348.75  , 351.5625,\n",
       "       354.375 , 357.1875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-87.86 -85.1 -82.31 ... 85.1 87.86</div><input id='attrs-965e4ea1-1b57-45d8-ac9d-160be3bc6e5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-965e4ea1-1b57-45d8-ac9d-160be3bc6e5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c645ed6-4178-42c9-9b75-f5c27d5ee8ca' class='xr-var-data-in' type='checkbox'><label for='data-8c645ed6-4178-42c9-9b75-f5c27d5ee8ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-87.8638, -85.0965, -82.3129, -79.5256, -76.7369, -73.9475, -71.1577,\n",
       "       -68.3678, -65.5776, -62.7873, -59.997 , -57.2066, -54.4162, -51.6257,\n",
       "       -48.8352, -46.0447, -43.2542, -40.4636, -37.6731, -34.8825, -32.0919,\n",
       "       -29.3014, -26.5108, -23.7202, -20.9296, -18.139 , -15.3484, -12.5578,\n",
       "        -9.7671,  -6.9765,  -4.1859,  -1.3953,   1.3953,   4.1859,   6.9765,\n",
       "         9.7671,  12.5578,  15.3484,  18.139 ,  20.9296,  23.7202,  26.5108,\n",
       "        29.3014,  32.0919,  34.8825,  37.6731,  40.4636,  43.2542,  46.0447,\n",
       "        48.8352,  51.6257,  54.4162,  57.2066,  59.997 ,  62.7873,  65.5776,\n",
       "        68.3678,  71.1577,  73.9475,  76.7369,  79.5256,  82.3129,  85.0965,\n",
       "        87.8638])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.382e+04 4.384e+04 ... 4.415e+04</div><input id='attrs-19e8db5a-5c81-4d76-aeb4-2521aafb8537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19e8db5a-5c81-4d76-aeb4-2521aafb8537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04d59987-11a6-467d-812f-6d139db5c4f0' class='xr-var-data-in' type='checkbox'><label for='data-04d59987-11a6-467d-812f-6d139db5c4f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>units :</span></dt><dd>day number (Jan 1 = 1)</dd><dt><span>calendar :</span></dt><dd>365_days</dd></dl></div><div class='xr-var-data'><pre>array([43816., 43844., 43875., 43905., 43936., 43966., 43997., 44028., 44058.,\n",
       "       44089., 44119., 44150.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-919e04bd-6582-45d9-bd07-fad528935be2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-919e04bd-6582-45d9-bd07-fad528935be2' class='xr-section-summary' >Data variables: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>P0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22d87274-7b1a-4791-b922-9bf819af7ada' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22d87274-7b1a-4791-b922-9bf819af7ada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5664a33b-b897-4415-8126-3c253df00c3b' class='xr-var-data-in' type='checkbox'><label for='data-5664a33b-b897-4415-8126-3c253df00c3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reference pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>array(100369.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2747a810-58cf-46b2-b1d0-8e38cb626f6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2747a810-58cf-46b2-b1d0-8e38cb626f6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95f49131-524e-4a32-ba9e-61bb2c2becc9' class='xr-var-data-in' type='checkbox'><label for='data-95f49131-524e-4a32-ba9e-61bb2c2becc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current date as 8 digit integer (YYYYMMDD)</dd></dl></div><div class='xr-var-data'><pre>array([19900116, 19900214, 19900316, 19900415, 19900516, 19900615, 19900716,\n",
       "       19900816, 19900915, 19901016, 19901115, 19901216], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29d2d488-682d-4485-a297-c882fb17576d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d2d488-682d-4485-a297-c882fb17576d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b185336-627f-40ab-8087-3b81dbbd3422' class='xr-var-data-in' type='checkbox'><label for='data-9b185336-627f-40ab-8087-3b81dbbd3422' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>seconds of current date</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OZONE_old</span></div><div class='xr-var-dims'>(time, lat, lev, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ff08533c-a87d-4d08-85e6-2a30b709fefe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff08533c-a87d-4d08-85e6-2a30b709fefe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9f7230f-4bcc-4afe-89fb-d04e66f2f0a1' class='xr-var-data-in' type='checkbox'><label for='data-a9f7230f-4bcc-4afe-89fb-d04e66f2f0a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>OZONE</dd><dt><span>units :</span></dt><dd>FRACTION</dd></dl></div><div class='xr-var-data'><pre>[5799936 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OZONE</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f81f1837-c0d8-422e-a988-c07cf8b4c9f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f81f1837-c0d8-422e-a988-c07cf8b4c9f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ce6d289-afbb-431f-888d-c97dbc35055f' class='xr-var-data-in' type='checkbox'><label for='data-2ce6d289-afbb-431f-888d-c97dbc35055f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>OZONE</dd><dt><span>units :</span></dt><dd>FRACTION</dd></dl></div><div class='xr-var-data'><pre>[5799936 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc40f372-86fa-41a0-ae0f-29aa76c5528e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc40f372-86fa-41a0-ae0f-29aa76c5528e' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>NCAR-CSM</dd><dt><span>Source :</span></dt><dd>AMIP II (symmetric for APE project)</dd><dt><span>Written_By :</span></dt><dd>olson</dd><dt><span>Date_Written :</span></dt><dd>August 22 2003</dd><dt><span>Host :</span></dt><dd>zen</dd><dt><span>Command :</span></dt><dd>ncgen</dd><dt><span>history :</span></dt><dd>Wed Jul 30 08:35:58 2008: ncrename -v OZONE,OZONE_old apeozone_cam3_5_54.nc\n",
       " </dd><dt><span>DODS_EXTRA.Unlimited_Dimension :</span></dt><dd>time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (lat: 64, lev: 59, lon: 128, time: 12)\n",
       "Coordinates:\n",
       "  * lev        (lev) float64 0.2842 0.3253 0.3719 ... 849.5 959.0 1.004e+03\n",
       "  * lon        (lon) float64 0.0 2.812 5.625 8.438 ... 348.8 351.6 354.4 357.2\n",
       "  * lat        (lat) float64 -87.86 -85.1 -82.31 -79.53 ... 82.31 85.1 87.86\n",
       "  * time       (time) float64 4.382e+04 4.384e+04 ... 4.412e+04 4.415e+04\n",
       "Data variables:\n",
       "    P0         float64 ...\n",
       "    date       (time) int32 ...\n",
       "    datesec    (time) int32 ...\n",
       "    OZONE_old  (time, lat, lev, lon) float64 ...\n",
       "    OZONE      (time, lev, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:                     NCAR-CSM\n",
       "    Source:                          AMIP II (symmetric for APE project)\n",
       "    Written_By:                      olson\n",
       "    Date_Written:                    August 22 2003\n",
       "    Host:                            zen\n",
       "    Command:                         ncgen\n",
       "    history:                         Wed Jul 30 08:35:58 2008: ncrename -v OZ...\n",
       "    DODS_EXTRA.Unlimited_Dimension:  time"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  Put in some ozone\n",
    "import xarray as xr\n",
    "\n",
    "ozonepath = \"http://thredds.atmos.albany.edu:8080/thredds/dodsC/CLIMLAB/ozone/apeozone_cam3_5_54.nc\"\n",
    "ozone = xr.open_dataset(ozonepath)\n",
    "ozone"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take the global average of the ozone climatology, and plot it as a function of pressure (or height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Taking annual, zonal, and global averages of the ozone data\n",
    "O3_zon = ozone.OZONE.mean(dim=(\"time\",\"lon\"))\n",
    "\n",
    "weight_ozone = np.cos(np.deg2rad(ozone.lat)) / np.cos(np.deg2rad(ozone.lat)).mean(dim='lat')\n",
    "O3_global = (O3_zon * weight_ozone).mean(dim='lat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(59,)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "O3_global.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.figure(figsize=(10,8)).add_subplot(111)\n",
    "ax.plot( O3_global * 1.E6, np.log(O3_global.lev/const.ps) )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Ozone (ppm)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "yticks = np.array([1000., 500., 250., 100., 50., 20., 10., 5.])\n",
    "ax.set_yticks( np.log(yticks/1000.) )\n",
    "ax.set_yticklabels( yticks )\n",
    "ax.set_title('Global, annual mean ozone concentration', fontsize = 24);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows that most of the ozone is indeed in the stratosphere, and peaks near the top of the stratosphere.\n",
    "\n",
    "Now create a new column model object **on the same pressure levels as the ozone data**.  We are also going set an adjusted lapse rate of 6 K / km, and tune the longwave absorption "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "oz_col = climlab.RadiativeConvectiveModel(lev = ozone.lev, \n",
    "                                          abs_coeff=1.82E-4, \n",
    "                                          adj_lapse_rate=6, \n",
    "                                          albedo=0.315)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will do something new: let the column absorb some shortwave radiation. We will assume that the shortwave absorptivity is proportional to the ozone concentration we plotted above.  We need to weight the absorptivity by the pressure (mass) of each layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.01521244 0.00239547 0.00294491 0.00359022 0.00437158 0.0053308\n",
      " 0.006518   0.00801322 0.00983974 0.0122112  0.01517438 0.01896033\n",
      " 0.02378877 0.03006126 0.03813404 0.04839947 0.06121356 0.07689825\n",
      " 0.0956929  0.11774895 0.14311224 0.17200325 0.20535155 0.24420577\n",
      " 0.28873387 0.33942617 0.39635885 0.45785715 0.51545681 0.57046196\n",
      " 0.61908838 0.65388737 0.67529707 0.68302918 0.67627911 0.65546409\n",
      " 0.61861086 0.56348381 0.48940972 0.40411693 0.32861214 0.27967132\n",
      " 0.23974031 0.20685342 0.18078828 0.16426141 0.14274006 0.1154594\n",
      " 0.09590159 0.09087993 0.09138546 0.09250529 0.09439986 0.09848981\n",
      " 0.10256593 0.10092918 0.09452428 0.05852275 0.01312565]\n"
     ]
    }
   ],
   "source": [
    "ozonefactor = 75\n",
    "dp = oz_col.Tatm.domain.axes['lev'].delta\n",
    "sw_abs = O3_global * dp * ozonefactor\n",
    "oz_col.subprocess.SW.absorptivity = sw_abs\n",
    "oz_col.compute()\n",
    "oz_col.compute()\n",
    "print(oz_col.SW_absorbed_atm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now run it out to Radiative-Convective Equilibrium, and plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integrating for 730 steps, 730.4844 days, or 2.0 years.\n",
      "Total elapsed time is 1.9986737567564754 years.\n",
      "After 730.0 days of integration:\n",
      "Surface temperature is [289.52088978] K.\n",
      "Net energy in to the column is [-9.48869513e-07] W / m2.\n"
     ]
    }
   ],
   "source": [
    "oz_col.integrate_years(2.)\n",
    "\n",
    "print(\"After \" + str(oz_col.time['days_elapsed']) + \" days of integration:\")\n",
    "print(\"Surface temperature is \" + str(oz_col.Ts) + \" K.\")\n",
    "print(\"Net energy in to the column is \" + str(oz_col.ASR - oz_col.OLR) + \" W / m2.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pozcol = oz_col.lev\n",
    "\n",
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + const.tempCtoK, np.log(level/1000), 'b-', col.Tatm, np.log( pcol/const.ps ), 'r-' )\n",
    "ax.plot( col.Ts, 0, 'ro', markersize=16 )\n",
    "ax.plot( dalr_col.Tatm, np.log( pcol / const.ps ), 'k-' )\n",
    "ax.plot( dalr_col.Ts, 0, 'ko', markersize=16 )\n",
    "ax.plot( rce_col.Tatm, np.log( pcol / const.ps ), 'm-' )\n",
    "ax.plot( rce_col.Ts, 0, 'mo', markersize=16 )\n",
    "ax.plot( oz_col.Tatm, np.log( pozcol / const.ps ), 'c-' )\n",
    "ax.plot( oz_col.Ts, 0, 'co', markersize=16 )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/1000) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue), RE (red), dry RCE (black), moist RCE (magenta), RCE with ozone (cyan)', fontsize = 18)\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we finally have something that looks looks like the tropopause, with temperature increasing above at about the correct rate. Though the tropopause temperature is off by 15 degrees or so."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Greenhouse warming in the RCE model with ozone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "oz_col2 = climlab.process_like( oz_col )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "oz_col2.subprocess['LW'].absorptivity *= 1.2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integrating for 730 steps, 730.4844 days, or 2.0 years.\n",
      "Total elapsed time is 3.997347513512951 years.\n"
     ]
    }
   ],
   "source": [
    "oz_col2.integrate_years(2.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c4CsROQD7D+sGL7HOwc7L15D1bsf6+rpqqKyURo5pyT8Br+c2UPPanM8SsP/w/DFN1hy3BO1TEVmAnbrlTuwXU9j1Wet1MFxrMcasdeI5SOwAqNHA34wxdSLyA3CwiDyD7Uf9sJ/utqFr0Nz3ZoOcvqhvYWvLjnZqzVt6n035f9fc97mn9cDQRu5nr+8hY8yvIjIXm4g+iu3b2QPb935XgSInYZ+rydh5B1djm5jDsF9kvf2f9PV/fwpQbvwwg4EmgC2zBOgDTDLGeGbpra0/tmO557Zado0yXQIcAawyxvg0yMCLs4EfjTGnuW8UkV5ejm3sDVX/7TcFtzkCRSQa+42+oInxLHF+V7Tgm3u9AZ4bRCQT2/ejKd8wcY7rKyLh7t+snX+mfXwopyl8fuzGDnCYC9wvdoLZ34F7ReRJ96akJirBNjcN9NwhIp2w13Gml/MGsGdn9vrazJ3Pj7FTekx0fhCRIdhm2n9iO6AXYF9jkX649hhjNojIZ8CJTpPLOdimOs9pQZZgaz+/M3sODPK0FDhMRBLdawHFzgGZy67a/casxtZqNdast8dr123b3l5zG52YUjxqpbzVHPr8WSJ2ZGs4e34JbjFjzAQRuQS4SkSecZrQfsH2jT1BRDobY5o02MZPvsMOTDgW2yXgW2f7t9gvF0di/5k3ZSUHf9SYNsbXz6rHsPFfZozxHAQBuwb4DWTPwX5NfS1646/3+VzgQBFJNcZscNu+yPnd1C8MzwGPicgobCJYie3C4u5sZ/tYY8zOL5ziw+wKTdALP72ntA9gy7yCfQ7v8bZTRJraBNkc1zvV0PX3NQLbhPWtWzL6qvP7bnGbqsXtHF/65tTi8W1E7DQpV3k5tv7+vdVc1DfDHeKx/Sp8ez1+iU1EbhSRPe5H7HJUTW0K6ituU3046mt/PmxiGR9ikwPPEdsXO9s/aGI5TdHkx+701dzteTXGbMYOUIrFDiipP69J08A4yc//gOEicoTH7hux19Hb471K7AjJ+vvriq09X1SfVIj3kZgLsd/0U5z7L8X2dTxJRPb1PFisNM/tezEe+3ychR1B/bXTh8ndK9hRpl5rAD3e7x9hv/Vf43HYpezqq9YoJxH+Ce/9huod6rz362MQbPMo7P2129B70TNmaN5nSf21+WEvcTTXHdhk658ATv+zW7BNwG95e/+LXVbv7r31h22G77Cv+9uwSfJSt+1R2NHxNey5iIA3jX1++sOHNPGzSuw0Npdj+xw+3UB5H2MTtevEbZk150v0+dgKiaY0s+7Gj+/zic5vzzJmYWutLxARb19mPWvfXsUmd9dh+0m+53yWuqvFPhc7P3Odcv7ZhDj3SkS6YLt4+eU9pTWALWCMeVfshKRXOB/Cn2A70XbFdojuhX/74bjrDnwpIh9ja1yuwP6T3DnrvjFmitj1OO8AZorIO9imwUzsaK6jsB+gTfEu8FcReQvbhywD2wHb27fsKdgalFucGqEKYLkx5nfn3IXAnWKnKFmObZbcl11THuyVsRPNnoP9MFskIi9ivzEmA/2wU9acSNM6XM8BXhOR57A1HWOx08L8gK3Ob4r7sYnDk85rYQb2m+WF2G+a9zdyrk98fOznYBOvD5xjqrFTHByOHdXm3oTS5GlgsFM9HIodAPWUU/afsCst/Ij3Jptw4CcReRP7T/oSbJ+6v7sd85yTGH6F/ccR45SZwO6TIV+KHXX4o9PHcQb2Q7cntg/hKzjTcjTRp9jX8n3YBM1b/I85j/kBETkI+899K3Y6koNxvvk7x76EHQl8q9hlqH7Dvh5OxtaSNPWz9x3gaLFTc0z2sn8W8J2IPAkUYx/7IdipUH7zcry7N7HTTDzrJP6l2JqePZLwZn6WHI19T3/vvlHsnHa3AecbY17eS4wNMsZ8LyK/AOeKyN3GmGXGmBfFDla4DSgQkTewfSJd2Nrmk7GDUjy/tI8QkbMauKsPm9DC8z32M68/duBDfYzzRWQttibsN9O0CezrW3buE5HXsa+ruWbPaYqaq0mfVSIyCDuIaS0w3cvzs9QY85sxZpHYLibXY9+Pb7FrGph44Ezny0xz+ON9/gW2xeIo7P9owA62EDsH77fAZBGpnwYmGfsZ+QV2+pf64zeJyLvYL4lgR397ehc7QOk7J94I7ICwhuZG9VX93K3v+KU044ehxB3hBy/TwLjtOxv7zW4r9s26AjtNy6lux/Sg4ak/JuJlWgi8TKfCrmlg0rDfSEqxfZu+A0Y2EPvR2Fqjjdglh1ZjJ2m91OM4g8cUJG77YrFTfKx0HuMSbG3Pwd6eF2yH2fnYTtq7lYttZvjCiXsz8DaQTcPTwHiNydk/CNtUt8a5r3XYOa7+BaQ04boa5zk9BNssut0p4z94TGtBI9MzOPvTsIMXCrGJViF2ZHeqx3GNvRb2eLzenpemPnbsSLfx2AStAvsanYWt5Ynycj/Gh/dErvMaLHHufxk2oYht4Hkb6Dyva53X0GRsh3L3Y0/C1igUOq/V9dhE/M9e7j/VeU0udsrbjE3mHwMGNPW6uR33H+e4LXiZysE5JhybsE5xns8K7HvhdeAwj2NTsCMES53jJmJHy0+kCdPAOGVEO+f/p6HXEHYe0tnsem/fCUQ05bWLrV38xXn+NmA7uyd7ex36+FkSh63JesBLGfXzMB7ahMd/nnPsXxrYf7iz/yWP7fnY1/1y57Ftc14bDwO93Y4bQ+PTwBigVxOv1TTn+LM9ttdPmfRvL+c0dF2ux76fqnH7rGjstUwDnxMNxLrXz6omPDeen1MXYxO0SuznzNfAAV7uu6HXVv21HtOc9/leHu9T2PdRpJd9fbGfo2uxn2NF2C/XI7wce4AT4xK8TIvm9jzMd2Itxr6nUjwfN43/H2jodfE9MKUpj7kpP/Vz1KkQIXb29XNNE6brUHsndiWE8caY8wIdi1LeiMiN2CbEXOOfEaStTkT+gR0s1sd4NKWLXXmlzBhzYECCUx2O0x91IXCFMcZbzV1TyxmFrSi42RjjtetXaxGRYdiR5SeYPReYaBbtA6iUUsHtUeygkWsDHEeTiB3QdQO29s8z+UvHjsj01s9QqVZh7CChR4F/uvdDboYrsDWmL/khLF/dDvzgr+QPtA+gUkoFNWOne+gR6Diayok3q4F9JdjBMUq1KWPMjeyaMqjJnMGOx2K7sJwFPGuMWevn8PbKGHOCv8vUBFAppZRSyrs07ICpcuwgj+sbPzx0aB9ApZRSSqkORvsAKqWUUkp1MNoE7CE1NdX06NEj0GGoBlRUVBAXFxfoMFQL6DUMfXoNQ59ew9BXfw2nTZu2wRjj6+T3mgB66tGjB1OnTt37gSogJk6cyJgxYwIdhmoBvYahT69h6NNrGPrqr6GIrNz70XvSJmCllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0CllFJKqQ5GE0DVLhhjWFlZGegwlFJKqZCgCaAKOasqK3m+qGi3bZcvWcK+06ezo64uQFEppZRSoUMTQBVyJpSUcPHixSzatm3ntpNSU1lbVcXr69YFMDKllFIqNGgCqELOORkZhIvwQnHxzm0Hd+rEsPh4Hly9mjpjAhidUkopFfw0AVQhp0tUFMd07sz4tWupdpp8RYRru3VjwbZtfFZaGuAIlVJKqeCmCaAKSRdlZlJSXc0nbsneKWlpdIuK4sHVqwMYmVJKKRX8NAFUIenwTp3oHhXFArd+gBEuF1d27coPW7YwZevWAEanlFJKBTdNAFVICne5WDR6NDd3777b9oszM0kKC+MBrQVUSimlGqQJoApZUS778i2vqdm5LSE8nL9mZfHe+vUs3749UKEppZRSQU0TQBXSri0oYPi0abuN/P171664RHi0sDCAkSmllFLBSxNAFdKGJyRQsH07P23ZsnNbdlQUp6en80JxMZuqqwMYnVJKKRWcNAFUIe3E1FQSw8J40W1OQIBrunWjoq6O/3qsGKKUUkopTQBViIsNC+P09HTeWb+erW59AYfGx3NIp048vmYNVbo8nFJKKbUbTQBVyLsgM5PtdXW8VVKy2/ZrunaluKqKNz22K6WUUh2dJoAq5O2TkMBLfftyUlrabtsPT0lhUFwcD61ejdHl4ZRSSqmdNAFUIU9EOC8zk84REXtsv7prV+ZUVPDtpk0Bik4ppZQKPpoAqnZj/Nq1POsx6OOMjAwyIiJ4WKeEUUoppXbSBFC1G++vX89tK1ZQ4zboI8rl4vLsbD7fuJH5FRUBjE4ppZQKHpoAqnbj/C5dWFtVxZcezb2XZGUR7XLpxNBKKaWUQxNA1W4c1bkzqRERvOQxJ2BaZCTnZGTwytq1rK+qClB0SimlVPDQBFC1G5EuF2dlZPBxaSkbPBK9K7t2ZYcxPKUTQyullFKaAKr25YIuXRgcF0eRRwLYPy6Oo1NSeGLNGipqawMUnVJKKRUcNAFU7crg+Him5eczJD5+j303de/OhupqnvdoIlZKKaU6Gk0AVbu0ubqaVZWVu23bPymJPyUl8cCqVbo8nFJKqQ5NE0DV7tQaw+CpU7lu6dI99t3cvTtrqqp4dd26AESmlFJKBQdNAFW7EybCX9LS+GDDBtZ59AU8rFMnRsTHc9+qVdTq8nBKKaU6KE0AVbv018xMqo3ZY0oYEeGmnByWbN/Oe+vXByg6pZRSKrA0AVTtUr+4OMYkJ/NMUdFuK4MAnJiWRt+YGO5csUJrAZVSSnVImgCqdusf2dms3LGDn7ds2W17mAh35OYyb9s2JpSUBCg6pZRSKnA0AVTt1rGpqczdZx/GdOq0x76T09IYGhfHbcuXU60jgpVSSnUwmgCqditMhIFxcQDUeTT1ukT4d24uSysreWnt2kCEp5RSSgWMJoCq3bt88WLOWrBgj+1Hd+7MfomJ3LliBdt1dRCllFIdiCaAqt1LCAvjrZISlm/fvtt2EeHu3FzWVFXxtK4RrJRSqgPRBFC1e1dkZ+MS4ZHCwj32jenUiUM7deLulSvZXF0dgOiUUkqptqcJoGr3ukZHc1ZGBs8VF7N2x4499t/Xsycba2r4v5UrAxCdUkop1fY0AVQdws05OVTV1fHg6tV77BuekMBFmZk8vmYNi7ZtC0B0SimlVNvSBFB1CL1jYxnfrx9Xdevmdf+/c3OJdbm4qqCgjSNTSiml2p4mgKrDOKtLF7KjorzuS4+M5LYePfh840Y+Ky1t48iUUkqptqUJoOpQZpeXc9Ts2Wyoqtpj3xXZ2fSNieGqggKqdHJopZRS7ZgmgKpDiRDhi40becjLiOBIl4tHevVi8fbtPO5lv1JKKdVeaAKoOpT+cXGckZ7OY4WFrK6s3GP/kZ07c1znzty6YgUFOiBEKaVUO6UJoOpw7u7ZEwPcvHy51/1P9elDpAgXLlq0xxJySimlVHugCaDqcHKio7m6a1deW7eOqVu37rE/OyqKR3r14sctW3SFEKWUUu1SeKADUCoQbszJISUigoFxcV73n9elC2+VlHDD0qUclZJCbkxMG0eolFJKtR6tAVQdUkJ4ONd060ZMWJjX/SLCc3374hLh4kWLMNoUrJRSqh3RBFB1aF9u3MhBM2eyw8u0L92io3kwL49vN2/m2eLiAESnlFJKtQ5NAFWHFgZ8v3kzD3tZIg7g4sxMDk5O5tqlS1m2fXvbBqeUUkq1Ek0AVYd2SEoKJ6Sm8u+VKyn0Mi2MiPBiv364gPMWLqRWm4KVUkq1A5oAqg7vobw8ao3h+mXLvO7PiY7mP71789OWLTzSQE2hUkopFUo0AVQdXs+YGK7PyeHNkhKmlZV5PebsjAxOTE3lluXLmVte3sYRKqWUUv6lCaBS2Glh3h4wgBHx8V73iwj/7dOH5PBwzl64UNcKVkopFdI0AVQKiA0L4+T0dESE6gaSu7TISJ7t25eZ5eXcsWJF2waolFJK+ZEmgEq5eaekhJ6//84qLwNCAI5PTeX8Ll24Z9UqPistbePolFJKKf/QBFApNyMTEthcU8M5CxY0OOL3P717MyQujtPnz2dhRUUbR6iUUkq1nCaASrnpGRPD47168cOWLQ3ODRgXFsZHgwcT5XJx3Ny5bKqubuMolVJKqZbRBFApD+d16cJJzojfmQ2MCu4eHc37AweyorKS0+fPp0YHhSillAohmgAq5aF+xG9aRATfbNrU4HF/TE7mqd69+XLTJm5oYA5BpZRSKhiFBzoApYJRamQk8/bZh+SIiEaPuygri9kVFTxcWMjguDjOy8xsowiVUkqp5tMaQKUaUJ/8/bZlC99s3NjgcQ/n5XFwcjJ/XbyYHzdvbqPolFJKqebTBFCpRhhj+HtBAafNn+91rWCAcJeLtwcOpGdMDMfPncsCHRmslFIqyGkCqFQjRITX+/dnhzGcNn9+g5NEp0RE8NngwUSJcNScOazdsaONI1VKKaWaThNApfaiT2wsz/bpwy9bt/Kv5csbPC43JoZPBg+mpKqKY+bMoaK2tg2jVEoppZpOE0ClmuD0jAz+mpnJfatX88uWLQ0el5+YyFsDBjCjvJzTdHoYpZRSQUoTQKWa6JFevXiqd2/2TUxs9LhjUlN5sndvPikt5e8FBZgGVhRRSimlAkWngVGqiWLCwrg0OxuAwspKUiMiiA4L83rsJdnZrKis5L7Vq8mMjORfPXq0YaRKKaVU47QGUCkfba6uJn/aNMYtXtxo7d7dPXtyTkYGt65YwQOrVrVhhEoppVTjNAFUykfJERFcnp3Nq+vWcV8jiZ1LhBf69uXUtDSuX7aMxwoL2zBKpZRSqmHaBKxUM/yze3cWbNvGTcuX0zc2lhPT0rweF+5y8Wr//lQbw5UFBUSJcInTjKyUUkoFitYAKtUM4tTujU5I4KwFC5hdXt7gsREuF28OGMCxnTtz6ZIlvFhc3IaRKqWUUnvSBFCpZooJC+PDQYM4KyOD3OjoRo+NdLl4Z+BADu/UiYsWLeLVtWvbKEqllFJqT5oAKtUCXaKi+G/fviSEh7O1pqbRyZ+jXC4+GDSIscnJnLdwIW+sW9eGkSqllFK7aAKolB/U1NVx6KxZnDxvXoPLxYGtNfx48GD+lJzMWQsW8GxRURtGqZRSSlmaACrlB+EuFxdlZvL5xo2ct3AhdY1MDxMXFsZngwdzVEoKf128WKeIUUop1eZ0FLBSfnJxVhYbqqu5eflyUiMieLRXL0TE67ExYWG8P2gQ5yxYwPXLlrG5poZ/5+Y2eLxSSinlT5oAKuVHN+bksL66mkcKC8mNjubKbt0aPDbS5eL1AQNIXLyYu1etYktNDY/37o1Lk0CllFKtTBNApfxIRHgwL48Yl4sTUlP3enyYCP/t04ek8HAeXL2aLbW1vNS3L+Eu7Z2hlFKq9WgCqJSfuUS4q2dPAOqMYUZ5OSMTEho8XkS4v2dPOoWHc8vy5ZTV1PDmgAHENLDOsFJKKdVSWs2gVCu6b9UqRk+bxoS9TPkiItzcvTv/6dWLj0tLOXDmTIp27GijKJVSSnU0mgAq1YquyM5m/6QkzliwgJebsALIFV278sGgQcyvqGDUtGlMKytrgyiVUkp1NJoAKtWKEsLD+XzIEA7p1InzFy3i6TVr9nrO8amp/DpiBGEiHDBjBm+XlLRBpEoppToSTQCVamWxYWF8PGgQx3buzDVLl7KmCU27Q+LjmTJyJCPi4zl1/nxuX7680bkFlVJKKV9oAqhUG4gOC+O9gQP5afhwsqOimnROemQk3w4bxrkZGdyxciWnzZ/PtkaWmlNKKaWaShNApdpIhMu1czTw80VF/HPZMsxeavWiXC5e6tePB3r25N316zlgxgwKKyvbIlyllFLtmCaASgXAlLIy7lq1isuWLKGmkbWDwY4QvjYnh48HDWLx9u2MnDaN7zZtaqNIlVJKtUeaACoVAE/36cMN3brxTFERJ86bR0UTmnaPSU3l9xEjSImI4NBZs/j3ihXaL1AppVSzaAKoVAC4RLg3L48ne/fms9JSDpo5k6q91AQCDIiLY8qIEZyWns6/Vqzg6Dlz2FBV1QYRK6WUak90JRClAuiy7Gyyo6JYvG0bkU1c/i0+PJzX+vfngKQk/lFQwIhp03h7wAD2TUpq5WiVUkq1F1oDqFSAHZ+aynU5OQD8smULv23ZstdzRIRLsrP5dcQIwkX408yZPFZYuNdBJUoppRRoAqhU0DDGcHVBAQfNmsWH69c36ZyRCQlMGzmSI1NSuLKggFPmz2drTU0rR6qUUirUaQKoVJAQET4ZPJghcXGcNG8ej65e3aQavU4REXw4aBD39+zJB+vXM1KXkFNKKbUXmgAqFUTSIiP5ftgwTkhN5aqlS/nr4sVUN2FwiIhwXU4O3w8bRmVdHftNn85Dq1frKGGllFJeaQKoVJCJDQvj3YEDuTknhy01NYSJNPncA5KTmZWfzzGdO3Pt0qUcOXs2a5uw9JxSSqmORRNApYKQS4S7evbkzQEDcImwYvt2FlRUNOnclIgI3hs4kGf69OHHLVsYOnUqn5eWtnLESimlQokmgEoFMZdT+3fx4sXsO306XzQxkRMR/pqVxdSRI8mIjOSoOXO4qqCAHU1oTlZKKdX+aQKoVAh4oW9fcqOjOXrOHJ+mexkYF8fkESO4IjubRwsL2Xf6dBY2sSZRKaVU+6UJoFIhICc6mp+HD+e41FSuLCjgksWLm7RyCEB0WBj/6d2bjwYNYnVlJSOnTeP5oiKdM1AppTowTQCVChHx4eG8N3AgN+XkMLmsjGofE7jjUlOZtc8+7JuYyMWLF3PK/Plsqq5upWiVUkoFM00AlQohLhHu7tmTX4cPJy4sjPKaGub70KSbHRXFV0OHcm/Pnny4YQNDpk7lh82bWy9gpZRSQUkTQKVCUExYGABXLV3K6OnT+d+GDU0+N0yEG3Jy+HX4cKJdLsbOnMm/li9v0nyDSiml2gdNAJUKYbd1707fmBiOnzuX+1at8qlf3z6JicwYOZLzunTh3ytX8qeZM1m2fXsrRquUUipYaAKoVAjrGh3Nj8OHc0paGjcuW8Y5CxdSWVvb5PPjw8N5sV8/JgwYwIKKCoZNncpra9e2YsRKKaWCgSaASoW42LAw3hwwgP/r0YOvN25kfTMGdpyans6sffZhSFwcZy9cyFnz57O1pqYVolVKKRUMNAFUqh0QEf7ZowcLR42iW3Q0dcb43JzbPTqaicOGcUePHkwoKWHY1KlM3bq1lSJWSikVSJoAKtWOJEdEAPDA6tUMmTKFT31cAi7c5eLWHj34YfhwaozhDzNm8B8fJp5WSikVGjQBVKodOjsjg76xsRw3Zw7/KSz0+fz9k5KYkZ/P4Skp/L2ggL/Mm8dmnTNQKaXaDU0AlWqHsqKi+HH4cI7t3Jm/FxTwjyVLqPWxFq9zRAQfDxrEg3l5fFxayohp05iiTcJKKdUuaAKoVDsVFxbGe4MGcVXXrjxdVMSc8nKfyxARrunWjZ+GDaPWGPafMcOntYiVUkoFJ00AlWrHwkR4uFcv5u6zD8MSEgDY5sM0MfX2dZqEj0xJ4cqCAk6aN0+XkVNKqRCmCaBSHUCf2FgA3i4poe/kycxqRm1gSkQEHw4axMN5eXyiTcJKKRXSNAFUqgPp6ySCB86Ywa9btvh8vohwVbdu/Dx8OMYYDpgxgzfWrfN3mEoppVqZJoBKdSBD4+P5Zfhw0iMjOXTWLL7euLFZ5YxOTGTqyJHsm5jImQsWcNOyZdRpv0CllAoZmgAq1cHkREfz0/Dh9IqJ4Zg5cyjYtq1Z5aRGRvLV0KH8NTOTe1et4oS5c3X1EKWUChGaACrVAWVERjJx2DCe6N2bXk6zcHNEulw83acPT/TuzWelpfxh+nSfVyBRSinV9jQBVKqD6hQRwcVZWQBMLyvjmTVrmlWOiHB5djZfDh1KUVUV+0ybxvebNvkzVKWUUn6mCaBSiifXrOHSJUu4a+XKZs/xd3CnTkweMYKMyEgOmz2bp5uZUCqllGp9mgAqpXimTx/Oysjgn8uXc+uKFc0up1dsLL+NGMFhnTpx2ZIlXFVQoJNGK6VUEAoPdABKqcCLcLkY368fUSL8e+VKUiMi+EfXrs0qKyk8nI8HD+bqggIeLSykoraWZ/r0wSXi56iVUko1lyaASikAXCI806cPG2tq+HrjRv6Wnd3spC1MhEd79SI+LIy7V62isq6OF/v2JdyljQ5KKRUMNAFUSu0U7nLxRv/+hIngEsEYgzQzCRQR7urZkxiXi3+tWEFlXR2v9+/v54iVUko1h34dV0rtJjosjAiXi5KqKg6cOZNJzVgxxN0/e/Tgwbw83lm/nr/Mm0eVn+JUSinVfJoAKqW8MkDRjh0cPWcO8ysqWlTWNd268WTv3nxcWsotwLbaWr/EqJRSqnk0AVRKeZXhrPQR6XJx+OzZrK6sbFF5l2Vn80LfvkwDjp4zh3JdNUQppQJGE0ClVIN6xsTwxZAhbK2p4bi5c9lRV9ei8i7IzOQW4KfNm/nzvHnUtLA8pZRSzaMJoFKqUUPj43mtf3+q6+pYV9XyHnwHY+cd/GrTJm5YtqzlASqllPKZjgJWSu3VsampHJmS4rdpXC7KymJWRQUPFxYyJD6ec7t08Uu5SimlmkZrAJVSTRLuclFWU8PflyyheMeOFpf3cF4eByUnM27RohaPNFZKKeUbTQCVUk22ZscOni8u5pyFC6lr4RJvES4Xbw8cSNeoKE6cN481fkgqlVJKNY0mgEqpJusXF8djvXrxzaZNPLR6dYvL6xwRwUeDBlFeW8sJc+eyXaeHUUqpNqEJoFLKJxdlZvKXtDRuXr6cKVu3tri8QfHxvN6/P9PKyrho0SJMC2sWlVJK7Z0mgEopn4gIz/bpQ5fISK4qKPBLmcelpnJHjx68UVLCe+vX+6VMpZRSDdMEUCnls04REbzZvz9vDBjgtzJvyslhWHw8VxYU6CTRSinVyjQBVEo1yx+Tk8mJjsYY0+IBIWBHGT/Vuzdrqqq4c+VKP0SolFKqIZoAKqWaraymhkNnzeKpNWv8Ut5+SUlc0KULjxQWMq+F6w8rpZRqmCaASqlmiw8Low64c+VKtvqp2fbenj1JCAvj8sWLdUCIUkq1Ek0AlVLNJiLc17Mn66ur/TItDEBaZCT39OzJD1u28EZJiV/KVEoptTtNAJVSLbJPYiKnpKXx0OrVrPXTZM4XZWayT0IC1xQU+K1mUSml1C6aACqlWuz/cnPZVlfHM0VFfikvTIQnevdmXXU1T/upTKWUUrtoAqiUarE+sbG8P3AgV3Xr5rcyRyUmcminTjxaWEilrhCilFJ+pQmgUsovTkhLIyk83K9l3pCTw9qqKl5Zt86v5SqlVEenCaBSym8+WL+eCxcu9Ft5ByUnk5+QwAOrV1OrI4KVUspvNAFUSvnNqh07eHHtWqaVlfmlPBHhhm7dKNi+nfd1iTillPIbTQCVUn5zbkYGcS4XT/hpYmiAE9PS6B0Tw32rVum8gEop5SeaACql/CY5IoKzu3ThzXXr2FBV5Zcyw0S4vls3ppWX8+2mTX4pUymlOjpNAJVSfnVJVhY7jOEdPzbZnt2lC6kRETxbXOy3MpVSqiNr8pA9EdkXOALYF8gCYoANwCLgB+BDY4x+PVeqgxsSF8e5GRlkR0X5rcwol4sz09N5uqiI0upqOkdE+K1spZTqiPZaAygi54rIHOBX4EogFlgC/A5sAkYDzwNrRORlEcltvXCVUsFORHi5f3+OS031a7nnZ2ZSZQxv6JQwSinVYo3WAIrILCAdeAU4B5hpvPTCFpEk4BjgTGCeiJxvjHmrFeJVSoWI0upqCnfsYGh8vF/KGxofz4j4eF5au5a/de3qlzKVUqqj2lsN4EtArjHmBmPMDG/JH4AxZosx5nVjzFHAfsBmP8eplAoxx82Zw3l+nBMQ4PwuXZhRXs6s8nK/lquUUh1NowmgMeZRY0ylLwUaY2YZY75sWVhKqVB3Sno6M8vLWVBR4bcyz8jIIFKEl3QwiFJKtYiOAlZKtYpT0tJwAW+WlPitzJSICE5ITeW1deuoqqvzW7lKKdXR+LRwp4hEAkcCfYFoj93GGPN//gpMKRXaMqOi+ENSEl9u3Miduf4bG3Zaejpvr1/P71u3ckByst/KVUqpjsSXaWCygJ+BHoABxNnl3i9QE0Cl1E5jk5O5e+VKympqSAj36ftmo2W6gG82bdIEUCmlmsmXJuAHgPVADjb5Gw30BO4CCpy/lVJqp0uysigYPdpvyR/Y1UbyExJ0VRCllGoBXxLAA4CHgCLndp0xZoUx5lbgXeBxfwenlAptWVFR9IiJ8Xu5h3TqxKStW9laU+P3spVSqiPwJQHsDBQZY+qACqCT277vgDF+jEsp1U58smED/1y2zK9lHtypE7XAj5s3+7VcpZTqKHxJAAuB+qn9lwKHue0bBfg0XYxSqmOYXFbGvatW+bW27g+JiUS7XHyrCaBSSjWLLwng98CBzt//Ba4Vka9E5FPs4I93/R2cUir0jUlOphb4ecsWv5UZHRbGH5OS+Eb7ASqlVLP4kgD+E3gawBjzNPAP7LrAmcD9wDV+j04pFfJGJyYCML2szK/l7p+YyLyKCrbX1vq1XKWU6giaNDRPRIYBvYDNIrLSGLPDGPMf4D+tGZxSKvTFhYXRPSqKhdu2+bXc/nFxGGDJ9u0M8dN6w0op1VE0WgMoIski8h0wDXgL+BIoEJFBbRGcUqp9GBQXx3Y/r9zR1xldvMjPiaVSSnUEe6sBvBU7398dwBTsXH+3AE+go36VUk30v8GDEZG9H+iDPrGxAH6vWVRKqY5gbwng0cD/GWPurd8gIouBL0QkwRjj3049Sql2yd/JH0BsKzUtK6VUR7C3QSA9gF88tv2MXQkkpzUCUkq1P8u2b+ewWbP8Pm9fv9hYbQJWSqlm2FsCGAHs8NhW5fyO8n84Sqn2KCEsjK83bfL7SOC+sbEs3LYNY8zeD1ZKKbVTU0YBH+sx6MMFGOA4Z3TwTsaYF/0Ym1KqnUiNiCDO5WLljh0M82O5PaKjqairY3NNDZ0iIvxYslJKtW9NSQBvaWD7rR63DaAJoFJqDyJCcng4W/y8dm9sWBgA2+vqdlubUimlVOP2lgDmtkkUSql2r1USQJftxeLvKWaUUqq9azQBNMasbKtAlFLt2/CEBFLCmzT3fJPV1wBu09VAlFLKJ/79NFZKqQa82r8/ABPXrPFbmTFaA6iUUs3iUwIoIucCp2OngIn22G2MMXn+CkwppfamvglYawCVUso3e5sGZicR+RfwEpAFzAR+8Pj5sRXiQ0ReFJESEZnrti1FRL4WkSXOb6/9v0XkCBFZJCIFInJja8SnlGqaB1at4oAZM/xaZkx9E7DWACqllE98qQG8EHjMGHNVawXTgJexS8+94rbtRuBbY8y9TmJ3I3CD+0kiEgY8CRwKFAJTRORjY8z8NolaKbWbNTt2MKu83K9l1s//p7MAKqWUb5pcAwh0Bv7XWoE0xBjzI7DRY/PxwHjn7/HACV5OHQUUGGOWGWOqgAnOeUoFrfY8n3FJdTXpfp6rb2llJQC50Z49UpRSSjXGlwTwB2BoawXiowxjTDGA8zvdyzHZwGq324XONqWCzvbt8Le/wTXXBDqS1lNcVUVmlH8XEFqybRsC5MXE+LVcpZRq7xptAhYR9wTxSuB9ESkFPmPPWjmMMcHUEcfb6vNe61dEZBwwDiAjI4OJEye2YliqJcrLy9vd9SkoiOPf/x7AypVx/OUvq/n++6WIt1dviFsK9MS/1/BnIAP47cdW6YKsGtAe34cdjV7D0NfSa7i3PoA17J40CXYgiDemCeX5yzoRyTTGFItIJlDi5ZhCoJvb7a5AkbfCjDHPAs8C5OfnmzFjxvg5XOUvEydOpL1cn7o6ePRRuOkm6NwZvvwSDjusG7u/bNuPP82fz4iEBOKXLvXbNbx+2jQGh4czZmiwNE50DO3pfdhR6TUMfS29hntL2O4kOPtXfwycC9zr/P7IyzFTgN4ikgusAU4DzmizCJVqxJo1cN558M03cMIJ8NxzkJoa6Kha12sDBgAwcelSv5RnjGHJ9u2cke6tB4hSSqnG7G0lkNvbKI4GicibwBggVUQKgduwid/bInIhsAo42Tk2C3jeGHOUMaZGRK4AvgTCgBeNMfMC8RiUcvf++3DxxVBZCc8+CxddRLts8m1tG6qr2VxTQ5/Y2ECHopRSISfoVwIxxpzewK6DvRxbBBzldvszbH9FpQKuvByuvBJeeAFGjoQ33oA+fQIdVdv4vLSUCxct4r2BA/1W5i9btgDQVweAKKWUzxodBSwiV4mIT/MriMgIETmiZWEp1b5MmQLDh8OLL9o+f7/+2nGSP4DHCgupM4bh8fF+Ka+6ro6bli+nd0wMB3XyOg+8UkqpRuxtGphzgBUicq+INNjLWkQ6icjZIvIVdmBeoj+DVCpU1dbCXXfBH/4AO3bA99/D3XdDZGSgI2s7M8vK+HLTJq7s2pVoZ+WOlnq6qIiF27bxUF4ekS5fZrNSSikFe28CHgGcDVwDXC8iW4E5wHpgB9AJO7NDnnP7LWCAMWZFawWsVKhYuRLOPht++glOOw2efhqSkwMdVdt7YPVq4sPCuCQryy/llVZXc/uKFRzaqRPHdO7slzKVUqqj2dsgEINdgu0VERkNHAGMxiZ90UAp8BNwF/CRMWZzq0arVIh44w249FK7sserr8KZZ3bMgR5rduzgrZISruzalWQ/rQJy+4oVbKmp4eG8PKQjPqlKKeUHTR4EYoz5Hfi9FWNRKuRt2QKXXWYTwD/8AV57DXJzAx1V4GRFRvL9sGF+W6ljXkUFT69ZwyVZWQzyU39CpZTqiIJ+FLBSoeKnn2yTb2Eh3HmnHewR3sHfYSLCAX5q9zbGcHVBAfFhYdzRo4dfylRKqY5Ke08r1ULV1fCvf8GYMTbh+/lne7ujJ3//XrGCKxYvps74Zy7599av56tNm7itRw9SO9IoGqWUagWaACrVAkuWwB//CP/+N5x7LsyYAfvuG+ioAm9WeTl3rFzJppoaXH7opzevooLzFy0iPyGBy7Oz/RChUkp1bJoAKtUMxtgJnYcPt0ngO+/YOf4SEgIdWeBV19Vx/sKFpISH83jv3i0ub2N1NcfPmUOcy8UHAwfqtC9KKeUHHbyRSinflZbCuHF2SbexY+GVV6Br10BHFTzuXbWKGeXlvD9wIJ1bOPK3pq6OU+fPZ/WOHUwcNoyu0T7NS6+UUqoB+lVaKR988w0MGQL/+x/cf7+9rcnfLltqanho9WpOT0/nxLS0Fpd33bJlfLNpE8/06cN+SUl+iFAppRT4WAMoInHAhcCfgM7AOGPMEhE5DZhpjFnYCjEqFXA7dsAtt8BDD0G/fvDJJ7b5V+0uKTycKSNHkuKHOf9eLi7m0cJC/pGdzfmZmX6ITimlVL0mJ4Ai0g2YCHQFFgKDgPoeT2OBQ4CL/ByfUgE3b56dyHnWLDvH3wMPQGxsoKMKPvMrKugfG0tvPzw5k7Zs4a+LF3NwcjIP5uX5ITqllFLufGkCfgi73FtvYCTgPrTvB2ytoFLthjHw5JOQnw9FRbbZ98knNfnzZlZ5OcOmTuXxNWtaXNbqykpOnDePrlFRvDVwIOE66EMppfzOlybgQ7FNvqtExHNF9zWAzs2g2o116+CCC+Czz+DII+GllyAjI9BRBae1O3Zw/Jw5pEZEcFYLn6Sl27dzyKxZbKut5ZuhQ1s8iEQppZR3vny1jgTKGtiXBFS3PBylAu/TT2HwYPj2W/jPf+xtTf68q6it5di5c1lfXc3/Bg9uUcI2r6KCA2bMoKymhu+GDWNgXJwfI1VKKeXOlwRwNvDnBvYdCUxreThKBc62bXD55XDMMZCZCdOmwRVXgB/mMW63zlmwgOllZUwYMICRLZgEcVpZGQfOmAHAD8OHt6gspZRSe+dLE/ADwLti/xu+4WwbICLHY0cGH+fn2JRqMzNnwhlnwIIFcPXVcPfdEBUV6KiC34WZmRyWksKxqanNLuOnzZs5Zs4cOoWH8+2wYeTFxPgxQqWUUt40OQE0xrwvIpcB9wIXOJtfwTYLX2GM+aIV4lOqVdXVwcMPw803Q2oqfPUVHHpooKMKfisrK+keHc1RnTu3qJwvN27kxLlzyYmK4puhQ3WiZ6WUaiNNbgIWkSTgJexgj8OBs7BNv12NMc+2TnhKtZ41a2yyd911ttl3zhxN/priw/Xr6fX773xWWtqict5fv55j58yhT0wMPw4frsmfUkq1oSbVAIpIOFAKnGiM+R/wTatGpVQre+89uPhiO8Hzc8/BhRdqX7+mmLx1K2csWMDI+HjGJCc3u5xX167l/IULGZWYyKeDB9NJR/sqpVSbalINoDGmBlgH1LZuOEq1rvJym+z95S+QlwczZsBFF2ny1xS/b93KUbNn0yUyko8HDyY2zHM2qL2rrqvjOeCchQs5MDmZr4YM0eRPKaUCwJdRwK+hK32oEPb77zBsmJ3T75Zb4NdfoU+fQEcVGlZVVnLQzJkkhYfz9dChpEdGNquMMTNn8gZwcWYmnw4eTHy4T6tRKqWU8hNfPn1XAGeIyBTgI6AYMO4HGGNe9F9oSvlHTQ3ccw/ccQdkZ8MPP8ABBwQ6qtCSEx3Ng3l5nJSWRkYzkr+PN2zgvIULqTGGfwF39u3r/yCVUko1mS8J4JPO72zsUnCeDKAJoAoqy5fD2WfDL7/YaV6efBJa0HWtQzHG8EhhIQckJbFPYiKXZvu+2E9VXR03LFvGo4WFjIiP560BAyicPLkVolVKKeULXxLA3FaLohEi0g073UwXoA541hjzmIikAG8BPbC1k6cYYzZ5Of8I4DEgDHjeGHNvG4WuAsgYeP11uOwy27/vtdfgzDMDHVXoqDOGa5cu5ZHCQi7NymKfxESfy1i6fTunzZ/P1LIy/p6dzf15eUS5XBS2QrxKKaV848s8gCtbM5BG1ADXGGOmi0gCME1EvgbOA741xtwrIjcCNwI3uJ/orFn8JHYd40Jgioh8bIyZ36aPQLWpzZtt4vfmm7D//jb569Ej0FGFjqq6Os5fuJA3Skr4W3Y2j/bq5XMZb5eUcPGiRbhE+GDgQE5IS2uFSJVSSjWXL4NAAsIYU2yMme78XQYswDZDHw+Mdw4bD5zg5fRRQIExZpkxpgqY4Jyn2qmffoKhQ+Htt+H//g8mTtTkzxcVtbUcO2cOb5SUcHduLo/16oXLhyHS22truXTxYk6dP58BcXHMzM/X5E8ppYJQk2sARWQ5HoM+PBljerY4osZj6AEMB34HMowxxc79FotIupdTsoHVbrcLgdGtGaMKDGPg0Ufh2mshN9f2+RutV9pnUSLEhoXxYt++nJ+Z6dO5c8rLOWvBAmZXVHB9t278OzeXCFfQf8dUSqkOSYxpNKfbdaDIy+yZAHYG/gCUA98ZYy7wPM9fRCQe+AG4y1mWbrMxJtlt/yZjTCePc04GDjfGXOTcPhsYZYz5m8dx44BxABkZGSMnTJjQWg9DtVB5eTnx8fG7bauqcvHww3348ssuHHDAem68cSGxsTplpS8WASlAGvZN7su0iLXAm9hq+ARsP4zGcm9v11CFFr2GoU+vYeirv4Zjx46dZozJ9/V8X/oAnudtu4gkA1/QiquDiEgE8B7wujHmfWfzOhHJdGr/MoESL6cWAt3cbncFijwPcpayexYgPz/fjBkzxp/hKz+aOHEi7tenuBhOPNHO8XfbbXDrrWm4XNrk6Iu3S0q4auFCjkxJ4b1Bg3w6d35FBectXMiUsjJOTUvjid69Sd3LNDGe11CFHr2GoU+vYehr6TVscfuMMWYz8ABwa0vL8kZEBHgBWGCMedht18fAuc7f52LnJvQ0BegtIrkiEgmc5pyn2oHJkyE/H+bOhXffhdtvB21xbLo6Y7h1+XJOnT+fEfHxPO3DrNi1xvDAqlWMmDqVZdu38/aAAUwYOHCvyZ9SSqng4K9p+CuxtWutYX/gbGCOiMx0tt0M3Au8LSIXAquAkwFEJAs73ctRxpgaEbkC+BI7DcyLxph5rRSnakOvvmrX8s3MtCt6DBkS6IhCS0VtLecuWMB7GzZwfpcuPN2nD1FNzJ4Xb9vGeQsX8tvWrZyYmsrTffo0a3JopZRSgdOiBFBEwoFBwO1AqyRWxpifabhL0sFeji8CjnK7/RnwWWvEptpeba1w7bXw0EMwZgy88w6kpgY6qtBTYwwLt23jobw8ruraFWnCSN86Y3i8sJCbli8nxuXi9f79OT09vUnnKqWUCi6+jAKuo+FRwFuBo/0SkVIN2LQJbrppMFOmwOWXwyOPQEREoKMKLdPLyugfG0tSeDjT8vObXOu3dPt2zl+4kJ+2bOHolBSe7duXrKioVo5WKaVUa/GlBvBO9kwAK4GVwOfGmC1+i0opDwsXwnHHwfLlyTz7rG3+Vb55Ze1aLl60iL937coDzqoce1NnDM8UFXHd0qWEi/BS376c26WL1voppVSI82UU8O2tGIdSDfr0U7uOb1QUPPzwLC6+eHigQwoptcZw47JlPLh6NQclJ3NjTk6Tzlu6fTsXLVrExM2bOaxTJ57v25du0dGtHK1SSqm20KIxkyIyQET+7Ay8UMqvjIF774Vjj4W8PJg6FQYP1opmX2ypqeG4OXN4cPVqLsvK4oshQ+i8l3bzOmN4rLCQIVOmML2sjOf69OGLIUM0+VNKqXbElz6ATwDhxphLnNsnAW9hR9duFZFDjTFTWidM1dFs2wYXXWTX8z31VHjxRYiNhWXLAh1ZaFlfVcXUsjKe7t2bS7Kz93r84m3buGDhQn7ZupWjUlL4b58+dNXETyml2h1fagCPBH51u30H8AkwFJgM3ObHuFQHtno1HHAATJgAd99tk8DY2EBHFVpml5djjKFXbCwFo0fvNfmrNYYHV61i6NSpzNu2jfH9+vHJ4MGa/CmlVDvlSwLYBVgBICJdgYHAPcaYOcDjwD5+j051OL/8AvvsA0uWwEcfwU03gY43aDrjTNUyYupUni8uBiAhvPGK/vkVFfxh+nSuW7aMwzt1Yv4++3CODvRQSql2zZdRwNuB+oUDD8RO/TLVuV2OXQZUqWZ7/nm47DLo3h2++w4GDAh0RKGlqq6OyxYv5oW1azm+c2dOS09v9PiaujruX72aO1asICEsjDf69+c0nddPKaU6BF8SwOnA5SKyCrgc+NoYU+fsywWK/R2c6hiqq+Hqq+GJJ+Cww2zTb6dOgY4qtJRUVfHnefP4ecsWbsnJ4c7cXFyNJHKzy8s5f+FCppeXc7Kzhm+6ruahlFIdhi8J4C3AF8AsYDNwidu+E7D9AJXySWkpnHwyfP+9TQLvuw/20mKpvJhbUcHM8nImDBjAqY3U/FXX1XHPqlX838qVpISH8+7Agfw5La0NI1VKKRUMfJkHcIqI5AD9gCXGmK1uu58Flvg7OAARiQZ+BKKw8b5rjLlNRFKwo5B7YPsmnmKM2eTl/COAx7CjlZ83xtzbGnEq382ZA8cfD0VFMH48nHNOoCMKPWt27CA7KoqDOnVixb77NjrFy7yKCs5dsIBp5eWcnp7O4716kaq1fkop1SH5NA+gMabCGDPNPfkTkc7GmE+NMYv9Hx4AO4CDjDFDgWHAESKyL3Aj8K0xpjfwrXN7NyISBjyJHcE8ADhdRLRnWRD44APYbz+orIQfftDkrzleKC6m56RJfLVxI0CDyV+tMTywahUjpk5l5Y4dvDtwIG8MGKDJn1JKdWBNTgBF5GIRuc7t9mARKQRKRGSqiHRpjQCNVe7cjHB+DHA8MN7ZPh7bDO1pFFBgjFlmjKkCJjjnqQCpq4M774STToKBA+3kzqNHBzqq0FJnDDcvW8ZFixYxNjmZfRMTGzy2YNs2/jRjBtcvW8ZRnTszb599tMlXKaWUTzWAf8OOBK73MLYv4JVAEnat4FYhImEiMhMowQ4++R3IMMYUAzi/vXV8ygZWu90udLapACgrg1NOgdtug7PPtjV/WbqGjE8qa2s5Y/587lm1inGZmfxv8GASvXSarDOGJ9essfP6VVTwar9+vD9woA70UEopBfg2CCQHWAggIknYqWBOMMZ8JiKlwD2tEB8AxphaYJiIJAMfiMigJp7qbRik2eMgkXHAOICMjAwmTpzYzEhVQ1aujOXWWwdSWBjLpZcu5eSTC5k0yfdyysvLO/T1+Rrb8XUccFpxMb8U7zn4fh1wP3bY/j7AdUDawoX8sHBhG0basI5+DdsDvYahT69h6GvpNfQlAQwD6qd9+SM2kaq/59V4r4HzK2PMZhGZCBwBrBORTGNMsYhkYmsHPRUC3dxudwWKvJT7LHYgC/n5+WbMmDH+Dr1De/ttuPxyiIuDb76BsWN7Ab2aVdbEiRPpiNenpq6OcJeLA43hxLIy8r00+xpjeGntWq4sKMAAz+blcVFmZtDN69dRr2F7otcw9Ok1DH0tvYa+NAEvAY52/j4N+NUYs825nQVsbHYUjRCRNKfmDxGJAQ7B1kR+DJzrHHYu8JGX06cAvUUkV0Qinbg/bo041Z6qq+Gqq+xavkOGwPTpMHZsoKMKPb9s2UK/yZOZV1GBiHhN/op37ODYOXO4cNEiRsTHMzs/n4uzsoIu+VNKKRUcfKkBfBB4VUTOBToBJ7vtGwvM9mdgbjKB8c6IXhfwtjHmExH5DXhbRC4EVtXHIyJZ2OlejjLG1IjIFcCX2BrMF40x81opTuWmuNj29/v5Z/j73+GBB0C7n/nuy40bOWHuXLpFRRHVQDL3RWkpZy9cSHltLY/26sXfsrMbnQRaKaWU8mUewDecVUBGA1OMMT+67V5HK9WsGWNmA8O9bC8FDvayvQg4yu32Z8BnrRGb8u7HH23yV1YGb7wBp58e6IhC0ycbNvDnefPoHxvL10OHkuaRQVfX1XHL8uU8sHo1g+PieGvAAPrHxQUoWqWUUqHEpzUXjDE/Az972X6b3yJSIcsYePhhuOEGyMuDb7+1U70o3/2yZQsnzZvH0Ph4vhwyhBSPOf5WbN/OafPn83tZGZdkZfFwXh4xYWEBilYppVSo8SkBFJE44ELgT0BnYJwxZomInAbMNMYExzBD1ebKyuCCC+Ddd+0cfy+9BI1MT6f2Ij8hgau7duWm7t1J8pjm5b3167lw4UIM8PaAAZzcyNJvSimllDdNTgBFpBt21G9X7CCMQUCCs3ssdnDGRX6OT4WA+fNt0ldQYPv6XXMNaBe05vlw/XoOSE6mc0QE9+bl7bavsraWa5Yu5amiIvZJSGDCgAH0jIkJUKRKKaVCmS+jgB/CLsvWGxjJ7nPs/YCtFVQdzFtvwahRsGmTbfK99lpN/prrheJiTpo3jztXrNhj36Jt29h3+nSeKirimq5d+Xn4cE3+lFJKNZsvTcCHYpt8Vzkjct2tQVfY6FCqq+G66+Cxx2D//e1cf7qqR/M9tWYNly9ZwhEpKdzbs+du+15Zu5bLFi8m2uXik8GDObpz5wBFqZRSqr3wJQGMBMoa2JcEVLc8HBUKiorsKN9ffoF//MM2+3qMUVA+eKKwkL8VFHBc5868PXAgUS5bMV9ZW8tlS5bw0tq1HJiUxOsDBpAdFRXgaJVSSrUHviSAs4E/A1942XckMM0vEamg9sMPdmLn8nJ480047bRARxTattfW8mhhIcc7yV+kk/yt3bGDE+fNY9LWrfyre3du69GDMG1bV0op5Se+JIAPAO86Kwu84WwbICLHY0cGH+fn2FQQMQYeeghuvBF69dIpXvwlJiyMX0eMICEsbGfyN7OsjOPmzqW0upp3Bw7kz2lpAY5SKaVUe9PkQSDGmPeBy7ArbnzjbH4FuBK4whjjrWZQtQNbt8Jf/mL7/J1wAkyerMlfSxVs28bVBQVU19WRHhm5cw6/99evZ/8ZMzDAz8OHa/KnlFKqVfgyDUwS8BLwKrAfkA6UYtcEbqhvoApx8+bZKV6WLoUHH4Srr9ZRvi21oaqKI+fMYXNNDf/o2pXu0dEYY7h71Sr+uXw5oxMS+HDQILpofz+llFKtpEkJoIiEY5O9E40x/2NXDaBqx958Ey66CBIS4Lvv4E860U+Lba+t5bi5cyncsYPvhg6le3Q022truXDRIt4sKeHM9HSe79uXaF3VQymlVCtqUhOwMaYGu95vbeuGo4JBVRX8/e9wxhkwYgRMn67Jnz/UGcPZCxYwaetWXuvfn/2SkijesYMxM2cyoaSEe3JzebV/f03+lFJKtTpfBoG8hl3p47NWikUFgTVr7BQvv/4KV10F992nU7z4y8Jt2/hi40YezMvjz2lpTC8r4zinKfiDQYM4PjU10CEqpZTqIHxJAFcAZ4jIFOAjoBgw7gcYY170X2iqrX3/vZ3WpaLCrvBxyimBjqh9GRAXx4JRo+gaFcX3mzZxzJw5pEZE8MuIEQyNjw90eEoppToQXxLAJ53f2dil4DwZQBPAEGSMncz5ppugTx+bCA4YEOio2o/VlZV8uXEjF2Zm0i06mq82buT4uXPJi47mm6FDdbCHUkqpNudLApjbalGogNmyBc4/Hz74AE4+GV54wQ76UP5RZwznLVzI5LIyjuzcmZnl5Zw0dy79Y2P5euhQ0iIjAx2iUkqpDsiXBLACKDfGVLZWMA0RkRXYZehqgRpjTL6IpABvAT2wzdOnGGM2eTn3COAxIAx43hhzbxuFHfTmzrVTvCxbBg8/DFdeqVO8+NvjhYV8t3kzz/Xpw5StWzll/nyGxMXx1dChpGjnSqWUUgHS6ChgEQkTkdtFZDN2FPBWEXlPRJLbIjgPY40xw4wx+c7tG4FvjTG9gW+d27sRkTBs0/WRwADgdBHRxk3gjTdg9GgoK7NNvlddpcmfv82vqODGZcs4tnNnEsPCOHn+fEYmJPCNJn9KKaUCbG/TwFwC3ApMBx7EDv44HnikleNqiuOB8c7f44ETvBwzCigwxiwzxlQBE5zzOqyqKvjb3+DMM2HkSDvFywEHBDqq9qfOGM5ZsIDE8HCOSEnh9AUL2Dcxka+GDCFZkz+llFIBtrcE8GLgOWPMQcaYG4wxJwOXA2eJSFt2XjLAVyIyTUTGOdsyjDHFAM7vdC/nZQOr3W4XOts6pGXL4MAD4Ykn7Ioe334LmZmBjqp9conw79xczkxP54olSzgwOZkvhgwhIdyXXhdKKaVU6xBjTMM7RbYCJxljvnHblgxsBPoaY5a0eoT2PrOMMUUikg58DfwN+NgYk+x2zCZjTCeP804GDjfGXOTcPhsYZYz5m8dx44BxABkZGSMnTJjQqo+nrRkDX3+dwWOP9UYErrtuEQceuD7QYTVLeXk58UE+ZYoBBPgUW22eD/wfEB3IoIJIKFxD1Ti9hqFPr2Hoq7+GY8eOnebWPa7J9lYdEQ9s9dhWv+5vm40VNcYUOb9LROQDbNPuOhHJNMYUi0gmUOLl1EKgm9vtrkCRl/KfBZ4FyM/PN2PGjPHzIwiczZvh0kthwgTb1Pvaa5CTMzDQYTXbxIkTCfbrc8SsWWRGRvLqunUckZLCBwMH6uoebkLhGqrG6TUMfXoNQ19Lr2FT2qOyRaSn2+0wt+2b3Q80xixrdiQNEJE4wGWMKXP+Pgy4E/gYOBe41/n9kZfTpwC9RSQXWAOcBpzh7xiD1U8/wVln2dU97roLbrgBNA9pXT9t3syXmzYR43LRLzaWtwcM0ORPKaVU0GlKAvhuA9s/9LKtNf7TZQAfiB2iGg68YYz5wlmR5G0RuRBYBZwMtrkYO93LUcaYGhG5AvjSie1FY8y8VogxqFRXw513wt13Q26uXdZt1KhAR9Ux3LlyJWFAlAgfDR6sff6UUkoFpb39dzq/TaJohFOrONTL9lLgYC/bi4Cj3G5/Rgdav7igwI7wnTwZLrgAHn1UJ3ZuK1O3buWbTZsQ4J2BA8mLiQl0SEoppZRXjSaAxpjxje1XwcMYGD/eTvESHg5vv21X9lBt59yFCwG4q0cPDklJCXA0SimlVMP2Ng2MCgGbNsGpp9ol3fLzYfZsTf7a2vvr1zN/2zbGJCVxY/fugQ5HKaWUapQmgCFu4kQYMsSu5XvPPfDNN9Ct215PU340p7yccxYsYHRCAp8PGYLokipKKaWCnCaAIaqqCm66CQ46CGJi4Lff4MYbdZRvW6usreXYOXOoBR7r1UtH/CqllAoJOkQxBC1ebAd6TJ0KF10EjzwCOp9nYDxbXMzKHTsACNOaP6WUUiFCawBDiDHwwgswfLhd1u299+C55zT5C5SK2lruXrmSnKgowkUYrBdCKaVUiNAEMESUlsJf/mJr/Pbd1w70OOmkQEfVsT25Zg3rqqvJjIxkQGwsUS59OymllAoNQf8fS0T6ishMt5+tInKliKSIyNcissT53amB848QkUUiUiAiN7Z1/P7w3XcwdCj8739w//3w9deQnR3oqDq2rTU13LdqFYd36sTyykpG6GSLSimlQkjQJ4DGmEXGmGHGmGHASGAb8AFwI/CtMaY38K1zezciEgY8CRwJDABOF5EBbRV7S1VVwfXXwyGH2GbeSZPguutAK5oC77HCQjbW1HBjTg7J4eGM1OZfpZRSISTUBoEcDCw1xqwUkeOBMc728cBE4AaP40cBBfVrFIvIBOB4YH6bRNsCCxfagR7Tp8Nf/woPPwyxsYGOSgFsrK7mwdWrOb5zZ8Z06sSi0aMxxgQ6LKWUUqrJQq0u6TTgTefvDGNMMYDzO93L8dnAarfbhc62oPbWWzBiBKxcCR9+CM88o8lfMHlo9Wq21tZyZ27uzm06959SSqlQIqFScyEikUARMNAYs05ENhtjkt32bzLGdPI452TgcGPMRc7ts4FRxpi/eRw3DhgHkJGRMXLChAmt+2AaUV4exumn70u3btu58865pKZWBSyWYFReXk58gJtbTwIGAXcC/wXWAbcGNKLQEgzXULWMXsPQp9cw9NVfw7Fjx04zxuT7en4oNQEfCUw3xqxzbq8TkUxjTLGIZAIlXs4pBNzXxeiKTSJ3Y4x5FngWID8/34wZM8avgfvinnugvBxefTWCkSP/ELA4gtXEiRMJ5PXZUVfHph9/5NAePRjToweTVq7kpuXLeW///ekUERGwuEJJoK+hajm9hqFPr2Hoa+k1DKUm4NPZ1fwL8DFwrvP3ucBHXs6ZAvQWkVynBvE057ygtG2bndT5yCNh5MhAR6O8WVdla2QzIyMBdo7+nVFeHrCYlFJKKV+FRAIoIrHAocD7bpvvBQ4VkSXOvnudY7NE5DMAY0wNcAXwJbAAeNsYM68tY/fFc8/B+vVwyy2BjkQ1pNhJALvUJ4BOE8r0srKAxaSUUkr5KiSagI0x24DOHttKsaOCPY8tAo5yu/0Z8Flrx9hSO3bYOf4OPBD23z/Q0aiGrK2vAYyKAiA1MpKcqCimaw2gUkqpEBISCWBHMH48FBXZ3yp4FTvr/tbXAAKclp5OXFhYoEJSSimlfKYJYBCoqYF774VRo+DgPeo0VTBZW1WFAOluAz7uy8sLXEBKKaVUM2gCGATefBOWL4dHHwWdTi64FVdVkRoRQYTHciy1xrCjro5YrQlUSikVAkJiEEh7VlcHd98NQ4bAMccEOhq1N4nh4WyuqWFTdfXObRW1tXT77TdOmTdPVwRRSikVEjQBDLD337fLvt18s67xGwpOTUuj2hje37Bh57a4sDCu7daNTzdu5OPS0gBGp5RSSjWNphwBZAzcdRf06QN/+Uugo1FNMTIhgd4xMbyxbt1u2/+Wnc2guDj+vmQJFbW1AYpOKaWUahpNAAPos89g5ky46SbQrmOhQUQ4Iz2d7zdvpsgZEQwQ4XLxdO/erNqxg7tWrgxghEoppdTeaQIYIPW1f927w5lnBjoa5YvTMzIwwFslu68++MfkZM7NyGBmeTl12hdQKaVUENNRwAEycSL89hs8+SToErKhpW9sLCPj43mjpISrunXbbd/TffoQ7XIhOpxbKaVUEAuaGkAReVFESkRkrtu2FBH5WkSWOL87ue27SUQKRGSRiBzeQJkNnh9o//43dOkCF1wQ6EhUc5yRkcHUsjIWb9u22/aYsDBEhNWVlfy0eXNgglNKKaX2ImgSQOBl4AiPbTcC3xpjegPfOrcRkQHAacBA55ynRMRbLzqv5wfab7/Bd9/BtddCdHSgo1HNcWp6OgI8W1Tkdf/ZCxZw8rx5rKqsbNvAlFJKqSYImgTQGPMjsNFj8/FA/eJo44ET3LZPMMbsMMYsBwqAUV6Kbej8gLrrLkhJgb/+NdCRqObKjorinIwMHluzhlle1gF+sk8fttfVccTs2Wx0mzNQKaWUCgYSTBPXikgP4BNjzCDn9mZjTLLb/k3GmE4i8gQwyRjzmrP9BeBzY8y7HuV5Pd/L/Y4DxgFkZGSMnDBhgt8fW726Ojj66AMICzOcffZKTjxxDZGRda12f+1NeXk58fHxgQ4DgC3AeUA68BTgWQU9E7ge6As8CES1YWzBLJiuoWoevYahT69h6Ku/hmPHjp1mjMn39fxQHQTirYd9szNZY8yzwLMA+fn5ZsyYMc0tqkkmTYIbb4Rnnsnj00/z+L//g7PO0qlgmmLixIm09vXxxTMlJZw2fz4zevbk2pyc3faNAbKc/T/m5HBXz54BiTHYBNs1VL7Taxj69BqGvpZew6BpAm7AOhHJBHB+18+7UQi4D7/sCnjrjNXQ+QE1dCh8/jl8+y1kZMB558GwYfDpp3Z6GBU6TklL49jOnbl1xQqWbt++5/70dD4YNIibu3cPQHRKKaWUd8GeAH4MnOv8fS7wkdv200QkSkRygd7AZB/ODwoHHQSTJ8Pbb0NlpV0LeMwYW0OoQoOI8FTv3oSLMG7RIq9rAR+fmkpcWBhlNTVM8FhBRCmllAqEoEkAReRN4Degr4gUisiFwL3AoSKyBDjUuY0xZh7wNjAf+AK43BhT65TzvIjUt4V7PT+YiMDJJ8P8+fDUU7BoEey3H/z5z/ZvFfy6Rkdzf8+efLd5My+tXdvgcQ+tXs3pCxbwcnFxG0anlFJK7SloEkBjzOnGmExjTIQxpqsx5gVjTKkx5mBjTG/n90a34+8yxuQZY/oaYz53236RMWaq83eD5webiAi49FIoKIA77oCvvoKBA+GSS0DzheA3LiuLPyUlcc3SpRS7LRHn7ubu3Tm0UycuWrSIz0pL2zhCpZRSapegSQCVFR8Pt94KS5fCZZfBiy9CXh7ccgts2RLo6FRDXCI817cvlXV1nDRvHhW1tXscE+ly8d7AgQyJj+fEuXN5XZuDlVJKBYgmgEEqPR0efxwWLIATToC777aJ4KOPQgMVTCrA+sTG8nr//kzeupVT582jum7P6X0SwsP5ZuhQ9ktM5OZly9jmJVFUSimlWpsmgEEuLw/eeAOmTYMRI+Cqq6BvX3jtNTunoAouJ6Wl8VSfPny6cSMXNzAoJCUigq+GDmXisGHEhoVRU1dHlV5MpZRSbUgTwBAxYoTtF/jVV3YVkbPPttu++EKnjgk2f83K4o4ePRi/bh03Llvm9ZhIl4vcmBgAriwo4IjZs9mkK4YopZRqI5oAhphDD4WpU+HNN6GsDI48Eg4+GKZMCXRkyt2/unfnsqws7l+9modXr2702H0TE/l5yxb+MGMGy7zMJaiUUkr5myaAIcjlgtNOs/0D//MfmDsXRo2CU06BJUsCHZ0COz/g471785e0NK5ZurTRAR9ndenCN0OHsq6qin2nT2eSjvZRSinVyjQBDGGRkXDFFXbE8K23wmefwYABdvRwI9PRqTYSJsJr/fszNjmZ8xYu5MuNDc9C9KfkZH4bMYKEsDCOmTOHspqaNoxUKaVUR6MJYDuQkGDnDiwogHHj4LnnoFcvuO022Lo10NF1bFEuFx8MGsSguDj+PHcuP23e3OCxfWNjmTRiBO8MHEhCeDjGGGq1g6dSSqlWoAlgO9KlCzz5pF1V5Oij4c47bSL4n/9AVVWgo+u4ksLD+XzwYLpGRXHIrFm82UhzcFpkJGM7dQLgueJixsycyQrtF6iUUsrPNAFsh3r3hrfesusMDxoEf/879OtnB47obCOB0SUqil9HjGDfxETOWLCAu1au9DpFjLuEsDBml5czZOpUXl27dq/HK6WUUk0VNAmgiLwoIiUiMtdt2+0iskZEZjo/R7ntu0lECkRkkYgc3kCZKSLytYgscX53aovHEiz22Qe+/dZOFZOYCGecAfn58PXXgY6sY6qf/+/M9HT+uXw5Fy1a5HWy6HqnZ2QwKz+fYfHxnLNwIafNn89GnSpGKaWUHwRNAgi8DBzhZfsjxphhzs9nACIyADgNGOic85SIhHk590bgW2NMb+Bb53aHIgKHHw7Tp9vJozdtgsMOs9PJTJsW6Og6niiXi1f79+fW7t15ce1ajpw9m82NJHU9YmL4ftgw7snN5YMNG5haVtaG0SqllGqvgiYBNMb8CDQ8THJ3xwMTjDE7jDHLgQJgVAPHjXf+Hg+c0NI4Q5XLBWeeCQsX2uXkZsywtYGnn25HEau2IyLckZvLy/368cOWLew/YwYrKysbPD5MhBu7d2fZ6NEclpICwNcbN7JD2/OVUko1U9AkgI24QkRmO03E9U242YD77LqFzjZPGcaYYgDnd3rrhhr8oqLgH/+wSd8tt8BHH9n+gRddBD/+qH0E29K5Xbrw5ZAhrNmxg9HTpjFlL0O2u0ZHA7CyspKj5sxhn2nTmFNe3hahKqWUamckmDqWi0gP4BNjzCDndgawATDA/wGZxpgLRORJ4DdjzGvOcS8Anxlj3vMob7MxJtnt9iZjzB79AEVkHDAOICMjY+SECRNa4+EFpdLSSF55pTtffdWFysowMjIqOfjgdRxySAm5uRWBDm8P5eXlxMfHBzoMv1qJ7ZuwCfgn8McmnDMJuB8oBy4G/kxofJuD9nkNOxq9hqFPr2Hoq7+GY8eOnWaMyff1/KBOABvaJyI3ARhj7nH2fQncboz5zeOcRcAYY0yxiGQCE40xfRuLIT8/30ydOtUvjyeUlJfb2sDXX7frDdfWwtChttn49NOha9dAR2hNnDiRMWPGBDoMv1tXVcVxc+YwpayMG3JyuKNHDyJdjad0JVVVXLxoER+XlnJQcjJfDx2KS6SNIm6+9noNOxK9hqFPr2Hoq7+GItKsBDCoKw2cpK3eiUD9COGPgdNEJEpEcoHewGQvRXwMnOv8fS7wUWvFGuri422y99lnUFQEjz8O0dFw/fWQkwMHHQQvvACNzGOsWiAjMpLvhw3jgi5duHfVKv4wfTqLtm1r9Jz0yEg+HDSIl/r25ejOnXcmf1t1FRGllFJ7ETQJoIi8CfwG9BWRQhG5ELhfROaIyGxgLHAVgDFmHvA2MB/4ArjcGFPrlPO8iNRnwvcCh4rIEuBQ57bai/R0+NvfYNIkWLzYrihSWGj7CXbpAn/5C3zwAezYEehI25fYsDCe79eP9wYOZHllJSOmTuW/RUWNzv8nIpyXmcnV3boB8MmGDeROmsTTa9boKiJKKaUaFDQJoDHmdGNMpjEmwhjT1RjzgjHmbGPMYGPMEGPMcfUDOpzj7zLG5Blj+hpjPnfbfpExZqrzd6kx5mBjTG/nd1NHGStH7942AVy0CH7/Hf76V/jpJzjpJJsMjhsHP/ygg0f86aS0NObssw/7JyVxyeLFnDB3LuubuJRLz5gYhsbHc9mSJeRPm8YvW7a0crRKKaVCUdAkgCq4icCoUfDYY7BmDXz+ORxzDLzxBowZAz16wI03wpw5gY60fciKiuKLIUN4JC+PLzZuZPCUKXxeWrrX8wbExfHt0KG8NWAAG6qr+eOMGVxdUNAGESullAolmgAqn4WHwxFHwKuvwrp1duDI4MHw4IMwZIgdPHL//bB69d7LUg1ziXBlt25MGTmStMhIjpozh78tWcL22tpGzxMRTklPZ+GoUdyck8NwZ6RfTV0dVVpVq5RSCk0AVQvFxdkl5j791A4e+c9/IDYWbrgBune3tYPPP6+DR1piSHw8U0aM4B/Z2TyxZg3506YxswkrgsSFhXFXz56c3aULAE8XFTF06lS+3qg9IZRSqqPTBFD5TXo6XHEF/PYbFBTAHXdAcTFcfDFkZNh+g++/D40seqEaEB0WxqO9e/PFkCFsrKlh9PTpPLBqFTU+1Oj1iY2luq6Ow2bP5qS5c1myl1HGSiml2i9NAFWryMuDf/3LLj03ZQpcdhn8+iv8+c928MhFF8HEiTp4xFeHp6QwJz+fozp35vply8ifNo3fmjjQ4/CUFOaNGsXdubl8uXEj/SdP5v5Vq1o5YqWUUsEoKBJAEekmIt+LyAIRmSci/3C2p4jI1yKyxPndye2cm0SkQEQWicjhDZTb4PmqbYjYNYcfecROJfPll3D88fDWWzB2rG0mvv56mD070JGGjtTISN4fOJB3Bw5kQ3U1f5gxg4sXLaK0unqv50a5XNzUvTvL9t2XK7KzGZmQAMDG6mqKdF4fpZTqMIIiAQRqgGuMMf2BfYHLRWQAdoWsb40xvYFvnds4+04DBgJHAE+JSJiXcr2erwIjPBwOOwzGj7eDR958E4YNs8nh0KF2IMm994JWSu2diPDntDQWjBrFNV278lJxMX1//50Xi4upa8L8fxmRkTzauzcHd7Lfie5auZK833/n2oKCJk85o5RSKnQFRQJojCk2xkx3/i4DFgDZwPHAeOew8cAJzt/HAxOMMTuMMcuBAmCUl6IbOl8FWGwsnHYa/O9/tp/gk09CYiLcdJOtFTzwQHjuOdi0KdCRBreE8HAe7NWLGfn59IuN5cJFizhgxgxml5f7VM7l2dmclp7OI4WF5E6axD+XLWNTE2oUlVJKhaagSADdOWv+Dgd+BzLqJ392fqc7h2UD7pOMFDrbPDV0vgoiqam2j+Avv8DSpfB//wclJXaS6S5d7HyDTz5pB5Yo7wbHx/Pj8OG81Lcvi7dvZ8TUqVxTUEBZE5eF6xkTw0v9+jF/1CiOTU3lrlWr+Ic+4Uop1W5JY8tMtTURiQd+AO4yxrwvIpuNMclu+zcZYzqJyJPAb8aY15ztLwCfGWPe8yjP6/le7nccMA4gIyNj5IQJE1rh0SlfGANLlsTz9dcZ/PprKkVFMQBkZlYwatRmRo3ayPDhm4mJaXxOvI5oC/A88AmQClwOHAiID2UsBaKx36pWApOw1enRfoivvLyceGduQhWa9BqGPr2Goa/+Go4dO3aaMSZ/72fsLmgSQBGJwP7P+tIY87CzbREwxhhTLCKZwERjTF8RuQnAGHOPc9yXwO3GmN88yvR6fmNx5Ofnm6lTp/r98amWKSiwA0hef30Ds2enUlEBERHwxz/C4Yfbn6FD7aATZU3asoVLlyxhZnk5h3fqxBO9e9MrNtbncu5ZuZKbly+nS2QkN+fkMC4riyhX8xsPJk6cyJgxY5p9vgo8vYahT69h6Ku/hiLSrAQwKJqARUSAF4AF9cmf42PgXOfvc4GP3LafJiJRIpIL9AYmeym6ofNViOnVCy6/HO6+ey6lpfDtt3DVVbBxo12CbvhwyMqCc8+1g0s2bAh0xIG3b1ISU0aM4LFevfh161YGTZnCtQUFTRot7O6m7t35adgw+sbE8PeCAvImTeKpNWtaKWqllFJtISgSQGB/4GzgIBGZ6fwcBdwLHCoiS4BDndsYY+YBbwPzgS+Ay40xtQAi8ryI1GfCXs9XoS0qCg46CO67D2bOtCuQvPyyXXXk00/tyiTp6Xbt4n/9C37+GZrYFa7dCXe5+HvXriwcNYrTMzJ4pLCQnpMmcdfKlVTsZUk5d39MTub7YcP4esgQ+sbGsnT7dgCMMazR6WOUUirkhAc6AABjzM803EXp4AbOuQu4y8v2i9z+Lm3ofNV+ZGbamr9zz4XaWpg2zTYXf/kl3H03/PvfkJQEBx9s1zA+/HDIyQl01G0rKyqKl/r149pu3bhl2TL+uXw5/yks5F89enBxZiaRTWjSFREOSUnhkJQUap2uI99s2sSRs2dzano613brxnBnXkGllFLBLVhqAJXyi7Cw3Wv+Skvh3Xfh5JPtiiTjxtlpZgYMsE3IX3wBTmVWhzAwLo4PBw/ml+HD6RMbyxVLltB/8mTeWLeuSfMH1gtzOlv2j43l71278nFpKSOmTePgmTP5orSUYOlbrJRSyjtNAFW7lpxsl5977jlYuRLmzYOHH7Y1gM88A0ceCSkptlbwkUdg/nw7Arm9+0NSEj8MG8ZngweTEBbGmQsWMGLqVD73MXnrGh3Nw716sXrffbmvZ08WbtvGBYsWUdURnkSllAphQZEANrIU3O0issajX2D9OboUnPKJyO41fxs32t+XXAKrV8PVV8PAgbaG8OKLbc3h5s2Bjrr1iAhHdu7M9Px8Xu/fn7LaWo6aM4cxM2c2eX3heskREVyfk8PyffflqyFDiHK5qK6rY7/p07l35UqdVFoppYJMUCSANLwUHMAjxphhzs9noEvBKf+Iidm95m/lSnj2WdhnH3j7bdtsnJoK++9vJ6eePNn2MWxvXCKckZHBglGjeKJ3bxZt28YfZszghDlzmFdR4VNZkS4Xg5y5xTZUV5MYFsZNy5fT7bffuHLJElZ0pPZ2pZQKYkGRADayFFxDdCk45Xc5Obbm7733bN/Bn3+2S9NVV8Ntt8Ho0ZCRAaefbkcdFxcHOmL/inS5uDw7m4LRo/l3bi7fb97MkClTOG/BAhZv2+ZzeZlRUXw5dCgz8/M5KS2NJ4uKyPv9d5a0QuxKKaV8ExQJoDuPpeAArhCR2SLyolsTri4Fp1pVePjuNX8lJfDGG3D00fD993D++XbewT594Kyz4PHHYdIkqKwMdOQtFx8ezi3du7Ns3325qmtX3lq/nn6TJ/PnuXOZvHWrz+UNjY/nlf79WT56NHfl5pLnbH949WoeWb3a53kJlVJKtVzQrAQCXpeCywA2AAb4PyDTGHOBLgXXcQXD8kXGwNKlcUyZksKCBYksWJDIhg1RAISF1dGzZwX9+2+lX78y+vXbSk7ONsK8dVAIERuBD4APgXJgGLb/xSh8W16uXv01vAm7xFwEdqm6Y4AhzSxTta1geB+qltFrGPra9VJwHvt7AJ8YYwbpUnAdV7AuX7RmjZ1mZvJk+zNlCtRXlsXHQ36+7Vs4apT96dYt9JatK6up4bniYh5evZo1VVUMiYvj+pwcTklLI8KHpeHcr+Gs8nKeKyri1XXr2Fpby/XdunFfXl7jBaiAC9b3oWo6vYahr6VLwQXFRNANLQUnIpn1TbjAicBc5++PgTdE5GEgi70vBXcvuhScakXZ2fbnhBPs7bo6WLx496Twscegqsruz8jYlQyOGmUTxJSUgIXfJAnh4VzdrRtXZGfzZkkJ969axVkLFnDLsmVc3a0bF2ZmEudjVefQ+Hie6NOH+/LyeKekhGFOjcTMsjIeWL2acVlZ/CkpCQm1bFkppYJcUCSA7FoKbo6IzHS23QycLiLDsE3AK4C/gl0KTkTql4KrwWMpOOAZY8xUbOL3tohcCKwCTm6rB6Q6NpcL+vWzP2efbbft2AGzZ++qIZw8Gf73v13n9Oq1e1I4bJgdqRxsIl0uzu3ShbMzMvi0tJT7Vq3iHwUF3LliBVdkZ3NFdjapkZE+lRkXFsZ5mZk7by/evp1PS0t5o6SEvjExXJyVxbkZGT6Xq5RSyrugSAAbWQrus0bO0aXgVEiJirLNwPvss2vbli126br6WsIffrCDTcAORBkyZPem4/79CZr+hC4Rjk1N5djUVH7ZsoX7V63ijpUruX/1ai7MzOSarl3p0cwM9pT0dI7p3Jl31q/n2aIirl26lHtXraJov/18am5WSinlXVAkgCISDfwIRGFjetcYc5uIpABvAT2wNYCnGGM2OefcBFwI1AJ/N8Z86aXcBs9XKhgkJcFBB9mfekVFuzcdT5gA//2v3RcXZ5uLR43alRjm5AS+P+H+SUl8NHgw8ysqeHD1av5bVMTTa9a0aI3g2LAwzu3ShXO7dGFueTnzt20jwuXCGMOJc+fyx6QkzunShXStFVRKKZ8FRQII7AAOMsaUO4NBfhaRz4GTsBM53ysiN2Incr7BYyLoLOAbEelT3wzs5kZv57fVg1KqObKy4Pjj7Q/Y/oRLluzedOzenzA9ffem4332CVx/wgFxcbzYrx939ujBo4WF/Le4mDdKStgvMZFLsrI4OS2tWeUOio/fOcH0ppoaNlRXc92yZdy4bBmHpqRwRno6J6SmkhAeLB9pSikV3ILi09LYocjlzs0I58dgJ3Ie42wfD0zEJnA7J4IGlotI/UTQu40CbuR8pUKGywV9+9qf+v6EVVW7+hPW/3z66a51jHv12r3peOhQW3vYVrpGR/Ngr17c0r0749eu5ZmiIs5duJCrCgo4GMjeto3esbHNKjslIoKfR4xgfkUFr61bxxvr1nHOwoVMGDCAU9PTKa+pIdLlIlKbipVSqkFBkQACOEu5TQN6AU8aY34Xkd0mchaR+omcs7FTiNVr0kTQbucrFdIiI21TcH4+XHaZ3bZ16+79CX/6Cd580+4Tgbw8GDzY9iscMsT+nZdnE8zW0ikigiu7deMfXbvy/ebNPFNUxPvr1/PO5MkcnJzMpdnZHNe5c7P69Q2Ii+Punj25KzeXX7duZbhTQ/ifNWt4cPVqTklP58z0dP6QlIQr0G3kSikVZIJmHsB6IpKMnXf2b8DP3iZy1omgOy6dvNQ3GzZEsnBhAsuWxbNsWRzLlsVTWBiDMTYhio6upUePCvLyysnNrSAvr4Lc3HKSkmpaLaZVFRX8GBfHJ8A6oDNwFHYiaH98Q5uFnf/pF2zfkgzgMOB8dJJpf9H3YejTaxj6WjoRdNDUANYzxmwWkYnAEcC6+rkAnYmcS5zDCoFubqd1BYq8FNfQ+Z73+SzwLNiJoHVyzOClk5e23LZtMH++bUKePTuMOXMSmTQpkU8/3XVMdvbutYVDhtgmaH+Mt5g4cSLPjxlDrTF8VlrKM0VFvLZxI68Dx3TuzKVZWRyWktLsWrsxwD+A8poaPtywgTdKStgiwtjBgwF4fd06DkhKIic6uuUPpoPS92Ho02sY+lp6DYMiARSRNKDaSf5igEOA+2h4ImedCFqpZoqN3dV8XM8YWLvWJoVz5tQnh/Ddd7sGm4SH22lo3JuQhwyxg1aak6uFuU0js3z7dp4rLuaF4mI+Li0lNzqav2ZlcX4LRvnGh4dzVpcunNWlC7VOS0dJVRXnLFhAHfCnpCTOyMjg5LQ0UiIimnUfSikVqoIiAQQygfFOP0AX8LYx5hMR+Q0vEznrRNBK+ZcIZGban8MP37W9utquaFKfEM6ZAz/+CK+/vuuYlJTdE8IhQ2DgQN8GneTGxHB3z57c3qMHH2zYwNNr1nDjsmX8a/ly/pKWxiVZWRzQghVBwpzz0iMjWTJ6NG+sW8frJSVcsngxf1uyhHcGDuT41NRmla2UUqEoKBJAY8xsYLiX7Q1O5KwTQSvV+iIibDI3cCCcfvqu7Zs22WTQvbbwxRehosLurx904llb2LNn4/cX6XJxano6p6anM7+igv8WFTF+7VreLCmhV0wMZ2dkcFZGBj1bsERKz5gY/tmjB7d0786M8nJeX7eO0c48ha+vW8cH69dzUloaR3fuTJJOK6OUaqf0000p5bNOneBPf7I/9erqYMWK3WsLZ8+GDz7YNT1NXBzk5Ixg//13Tw69zVs4IC6Ox3r35u6ePXmnpIRX1q3jthUruG3FCjsJtNN8m9zM5lsRYURCAiPcJqkuq6nh161beW/DBiJEOLhTJ05KTeWizExdj1gp1a5oAqiU8guXy9bw9ewJJ5ywa/u2bTBv3q6E8Mcfa/ngA3j++V3HZGfvPuBk8OBdg07q1wk+LzOTVZWVvL5uHa+sW8c4p/n2uNRUzsnI4PCUlBYvE3dJdjbjsrL4fetW3t+wgffXr+eZoiIuzsoC4OMNGxgaH093HUCilApxmgAqpVpVbOzuayBPnDiLAw8cs3PQiXuN4Tff2H6HYJuf+/f3HI0czY053bkxJ4epZWW8um4db5aU8M769aRFRHB6ejrndOnCiPj4ZtfYuUTYLymJ/ZKSuL9nTzbW2ClxttfWctr8+Wyvq2NkfDwnpqVxUmoq/dtyhm2llPITTQCVUm2usUEnixbt3rfwhx+8DToRhgxJZOiQRE4dlMea7ht5Z8s6nikq4vE1axgQG8vZGRmcmZFBtxbU1okInZ0m5piwMGbn5/PBhg28v2ED/1y+nH8uX86DeXlc060bdcYgzjlKKRXsNAFUSgWNiAgYNMj+eBt04l5b+MIL9YNOXIik0qtXKofvU405cD0FPddy07bl3Lx8OQclJ3N2ly6c5Ie1gnvFxnJdTg7X5eSwZscOPtqwgYOSkwH4fONGLlu8mBNTUzkxLY0/JiXtHH2slFLBJqgSQGcamKnAGmPMMSKSArwF9ABWAKcYYzY5x94EXAjUAn83xnzppbwGz1dKhY6GBp0sX+4xd+GUCArezMKYLMjaTvhR6/j5iLV8u3kh4+pc/MmVyiW5XTiuW3KL+wtmR0VxWfauFSiTw8MZFh/PM0VFPLZmDWkRERyfmspDeXkk6mhipVSQCbZPpX8AC4BE5/aNwLfGmHtF5Ebn9g0iMgA4DRiInQj6GxHpUz8XoBuv57fFA1FKtS6Xy041k5cHJ564a3tFRf1KJzHMnt2DWU90Z/qOrZTtu5Zvxq7nm+UlyEIXKWsT6VudxIHJSZzQN5Hh/cJpyXzQ+ycl8dHgwZTX1PD5xo28v2EDP2/ZQnxYGAB3rFjB+qoq9k1MZN/ERPJiYrS5WCkVMEGTAIpIV+Bo7Nx+Vzubj8eu7AQwHpiITeCOByYYY3YAy0WkABgF/OZRbEPnK6Xaqbi43QedgGBMEsXFSUyd3Zv3Fpfye/VmViZu4dfclfwaBveUgPySQOfiJAbUJjGmcxL79Y9kyBDbT9GXPC0+PJyT09M5OT0dY8zOJG9FZSXvrl/Pk0V21crO4eGclp7OE336AHaQSYyTLCqlVGsLmgQQeBS4Hkhw25ZhjCkGcNbzrV8rPhuY5HZcobPNU0PnK6U6EBG7ZN1xWS6OIw1IA2DDthreW7iVz9dsZnr6Ftb0WsOP4YX8CLAyFh5OIn5ZEoNMEqO6RzN0iDB4sJ0YOza2Kfe7K3N8qV8/nu/bl/kVFUzaupVJW7eS6lQ51hlD199+IyMycmcN4b6JiQyMi9N+hEqpViGmfobWQAYhcgxwlDHmMhEZA1zr9AHcbIxJdjtukzGmk4g8CfxmjHnN2f4C8Jkx5j2Pcr2e7+X+xwHjADIyMkZOmDDB749R+Ud5eTnx8fGBDkO1QDBfwypgETC10sXUHS6WxtSyI9L5jFwfCbOTYU4SzEmka42LvNwKevasoGfPcvLyKsjIqKQ5XQursJ2V5zs/W53tZwIXATuAKcAAwMuc2W0umK+hahq9hqGv/hqOHTt2mjEmf+9n7C5YagD3B44TkaOAaCBRRF4D1olIplN7lwmUOMcXAt3czu8KFHkpt6Hzd2OMeRZ4FiA/P9+MGTPGLw9K+d/EiRPR6xPagv0aHub2d50xzK2o4KctW/gxbTM/ZGxm3cH2Y2RdZTgbFyXxw6QkeDMHFicQH+3ymLfQzmOYlNT0+zXGsKyykklbtzIoLo6h8fH8vHkz/5o5E4Ae0dHsm5jI6IQETk5PJzsqyq+PvymC/RqqvdNrGPpaeg2DIgE0xtwE3ATgVgN4log8AJwL3Ov8/sg55WPgDRF5GDsIpDcw2UvRHzdwvlJK7ZVLhCHx8QyJj+fy7GyMMayorOSnLVvsT6fNLBpaCkBEnYvE0gTWzE9m9vdJVLySCNvtR2xOzu5J4ZAh0Ls3eBscLCLkxcSQ57becX5CAr8MH76z6fiXLVuYUFLCPomJZEdF8ePmzby/fv3OpuPu0dE6wEQp1aigSAAbcS/wtohcCKwCTgYwxswTkbexrSU1wOX1I4BF5HngGWPM1IbOV0qp5hARcmNiyI2J4ZwuXQAoqariZych/DlpCzPSVlJ7IIQBubXxZJQkw9xEFv2cwGf3RVNXaxOzqCjbl9CzxjDdS0/l6LAw/pCUxB/cqhKLduzY2YdwXkUFzxYX89iaNQBkRESwb2Ii4/v3Jyk8nJq6OsJbOO2NUqp9CboE0BgzETtaF2NMKXBwA8fdhR0x7Ln9Ire/GzxfKaX8IT0ykpPS0jgpzQ4sKaupYdLWrTtrCSdFFFGZWQiHQnJYOL0kns6b4nEtjWfzlHi++DqW8eN3JWcZGbuajuuTwv79wXNBkyy3pt9Ls7O5KDOTuW4DTBZs20aiM6p43OLFfL1pE8Pi43f+DI+Pp6dbLaNSqmMJugRQKaVCWUJ4OIempHBoih2uUVVXx6zycmbU/5SV8WNdEduH1cEwiP6rixFRcWRtiyemMIHts+NZ81McTz0VRmWlLTMsDPr23b1f4ZAh0K3brilqIlwuhickMDwhgUuzd58U4eBOnaiqq2NmeTmfl5ZSC/SLjWXBqFEAPLVmDdEuF8Pi4xkYF0eU1hYq1e5pAqiUUq0o0uVin8RE9klM3Lmtpq6ORdu3M6OsbGdi+HP1ejZ3K4ZuEHY09IuNI68unuT18dQtjqf093gmTYrAfZKCpKQ9B5wMGgQJCbvHcKazLjLY+QbnVVSwpXbXvPkPr17NUifbDBehf2wsZ2ZkcENODgBba2p0NROl2pmgeUeLyAqgDLu0W40xJl+XglNKtUfhLhcD4+IYGBfHWc42YwwrKyuZ7lZTOLV8E0UJ62AkMBJyo6M5LjqejK0JRKyIp3xmPEsnR/HKK1BWtqv8nj33HHTSs6etSYwJCyPfLRkFWDx6NEu3b2dmefnOn+q6OgB21NWR+ssvZEZG7mw+Dgf67thBZgBGICul/CNoEkDHWGPMBrfbuhScUqpDEBF6xMTQIyZmZ39CsINMZpSXM92ttvDjug2QA+RAxp8j2D8+gZ518cQXx1M9P4HCKdHMmS18/LFdMxkgJsbWDnrWGHbubEc7946NpXdsLCd7jEKprqvjrtxcZjiJ4SelpdQB0evWcV1ODuuqqrhn5cqdyeGAuDgitQlZqaAXbAmgJ10KTinVoaVHRnJ4SgqHp+yaAnprTc3OfoX1ieE32zZRE2sgHxJHhzEsPp6DY+JJ25yAqyCe9dNjmTfLxUcfwQsv7Co/K2v3pHDYMNvfsL7FNz48nOucpmCAbbW1jP/pJ45xEsUl27bxXHEx25xMM0KEAbGxPNWnD39ISqKspoZaY0huyULLSim/C4qVQABEZDmwCTDAf40xzzayEsgTwCSPlUA+N8a861GmrgTSzujs9aFPr2HrqAKWAwXAYuf3UuwqIgARQE+gl4GsbWFErIplx/xEVi1KYNmyeFatiqW62tbcRUTUkZtbQV5eOXl55fTqZVc6iY+vAfa8hrXAGrf7LAAux1ZSfgo8CHQBegF5ThyjsLP+q8DQ92Hoay8rgQDsb4wpctbr/VpEFjZyrLcZTpudyepKIKFDZ68PfXoN206tMSzetm23Eci/lZezMa4G+pch/cvoFRPDiPh4zo2Jp/PmeGoXxrNyRiSzZiYwdWoCn3++q7wePWDoUEhKWsEJJ/Rg6FDIzd01EtmbtIoKUktLmenc/6/bt1MHbNh/fzpHRDD+/9u77/i4qmvR4781ozZzRrblIjdky70XbGOaAQOhhZabkDy4gZgUbiohhZeeXJJcckNJgZc8XgohcYAQuAGSy6U3AwELbOMm9yL3Ild5Rl1a7499Rjoej2zLluUZa30/n/PRzJ59Zra8P5KWd1l7+3bKqqqY5E8hj/c8PD99jTlx7Ocw+50SJ4EAqOpW/+tOEXkK9x/ETjkKzhhjTkVhEcZ4HmM8j3/1dwGrKlvq6g7a8LHgwAGeqKx0Nw2APoNzmXxjjFlejNLGGDkVMXYtjLBkYYhFi2DVqsHMnu2qFxa6oHDSJDd9PGmSW2uYTDGY3OySVN3UxPLqanr5U8Krq6t5ZMcOHtjqfoULMDkWY/7UqYgIS+NxuufkcFp+vp1uYkwHyogAUEQ8IKSqB/zHlwI/ou2j3OwoOGOMOQYiwmkFBZxWUMBVvXu3lFc1NrI4EBQujMe5f8tm6lWhAArOCTHhEo/zYjEu3ridybHJ1JR7rHg/h0WLYPZs+PWv3XuFQm4dYTAonDQJ+vWDaDjM1ECemv8YOpQfDxlCRW0ti+JxFiUSVDc1tQR7t6xaxdyqKopycpjon418fo8efCSwUcYY034ZEQACfYGn/B/4HOBRVX1eRN7DjoIzxpgTrltODjN69GBGjx4tZQ3Nzayorj4oKPxbZSV7chXq3keGw/AJESbHYlzhxegXj6Gr3RTy4kXCO+9wUN7C4uJDRwtHjYLc3NYj9j6UEtj9cvhw5h844ILDeJzfb9vGhtralgDw0kWL6J2by+RYjEmxGJM8j36WnsaYI8qIAFBV14nIBcDvgfHAjSLyKrAS8JMY0MzB6/yCz5sD7/WZQB09zP3GGGMOIzcUYkIsxoRYjJv8MlXliTlziIwf3xIUzg9OIRdBn8tymfyRGB+LxRghMfI2xtizuHUK+f77ob7eVU+eiZw6WpiMQ8/s1o0zA3kLm1SpanSbURqamykIhXhr/37+srN1hc/XTzuNe4cPp7G5mcd27mRSLMboaJRcS09jTIuMCAB99wHPq+p1IpIHRIHvYHkAjTEmY4gIxcDM3r25OjCFvD/NFPJ9m/0pZKBgcogJ53pMjcW4ORKjx+4Ydcs9VvpTyM88Aw891Po5gwcfHBROnuw2oYRDQpG/fjA3FOIfEyYAsKehgcXxOIsTCSb6aw5X19Rw0wq3nzCZnmZSLMYXBg7kzG7dUFVbV2i6rIwIAEWkG3A+cDOAqtYD9SJieQCNMSYLdM/J4bwePTjvCFPI/1VZye8at7kKA2Do0AImzYrxBS/GoAaP0PoY294vYPEiYeFCFxgmk1kXFrbmKkyOFI4fD9Eo9MzNZWZRETOLWjN9jYhEKD/jDBb608eL4nFe3LuX6/zp41f37eOm5cuZ6HlMjMVavo6x0ULTBWREAIhLC1UJPCQik4D5wG1AX1XdBuDv5E2mqB8IzA3cv9kvS9XW/cYYY06wtqaQN/u7kJObPhbF4zy9a5dbo5MP3c4NM/GyGBd7Hl/Ki+FtjxFf6rFiYbhlw0ny6LtQCEaOdEHh6afD1KkwZQoUFbkj98Z6HmMDu6CTbQDokZPDpUVFLE4kDhqtnDd1KlMLC3lr3z7+WVXVEhgOyMuzEUNzysiIRNAiMg0X0J2rqmUich9QBdzaRiLoXwPvpCSCflZV/5byvpYI+hRjyUuzn/Vh9jsRfVhDayLrtf61zi8HCOH+lz8MGNoMRXtz0TUxKpd1Y93aQtasibFjR2tq6QEDahgx4gAjR8YZOfIAI0YcoHv3xjY/vxE3krAOmAHk4aaN/hio0w03WvETIALswa1VysaE1vZzmP1OlUTQm4HNqlrmP/8v3Hq9TskDaImgs4clL81+1ofZr7P6sFmV9X56mMWB0cLXa2uhVwP02kvPcw8wMRbjes9jKC5n4e4FURbPizB/foQ5c1onfgYPdiOEyVHCqVPhcNlkZgI/b2hgaSLB4kSCxfE4G2pruXziRESEjy9bxl927mREJMIEf5RwSix2UHqdTGU/h9nvlEgErarbRWSTiIxS1ZXAxbgUL8uwPIDGGNMlhUQYFokwLBLhw4FIbX9jI0sCAeGieJzfbttGTXMz5EL4TBh9YZSzYzFmhWPkb46RWOyxuiyf+fPhySdbP6OkpDUYTF6B2WKKcnMPWduY9On+/RkVjbZsPnly1y4meF5LAPilVatoVG1ZXzghFqN7Tkb82TUmMwJA363AI/4O4HXAJ3Gj/pYH0BhjTIvuaXIWNqmypqamJSBcFI/z5v79PFq3E8LA6VA8PZeJsRiX53jEdsaoXx5jyz+jvD8vxN8DwwMDBhw6UjhgwKHtuKioiIsCm04STU3sSOa3ATbX1TFn/35+s21bS9lNffsye8wYAP571y6GRyKMiETIsU0nppNlRAAoIqNoXWrRDFyEG7GbjeUBNMYYcwRhEUZFo4yKRvlYceu0bzI9THC08Hf7tlAnCmMhd5ww9itRrs+P0WOvR/PqGLvKPJb9M49nnhGSy+T79Ts4IJw6FQYOPPgcZC8cZmjyDDzg6QkTWo7eS04hDy5wKwYTTU1cu3QpChSEQoyJRpngb1a5rGfPlo0qtunEnCgZEQD6076TAUQkDGwBnqKNPH6WB9AYY8zRSJceprG5mZWB0cIliQRvxveyRXfAcGA49L45l/MLPIrjMXI2elS9H2Pda1Geey7ckpamT59DRwoHDTo4KAwevffBXr1aygtCIRZMndoSGC5JJHh5716mFhZyWc+erK+t5Yz58xnveUzwp48n+EfheeFwJ/3rmVNZRgSAKS4G1qrqBssDaIwxpqPlhEKM8zzGpaSH2d3QwBJ/PV8yKHtGtlJT0gwlELoGhhVEKKmPEdnmUVMeo+JNjxd/WkBzk4v6evU6OCCcNs1tPkkdyAuLMLmwkMmBc5HBbXwBEOC6Pn1Ykkgwe8cODmx1+xyfGDuW64qLWRqP8+jOnS449DxGRqPk2TSyaYdMDACvB/7iP7Y8gMYYYzpFrzSjhU2qrKupaQkKFycSLIkfYG3fSneK/UVQGApTikf3XTGaV3usK4vxyv/1aKpyf2KLi+Gss1qvM86AtjKwhPxIcUgkwm9GjQJc3sINtbUsSSRajsVbnEhwz6ZNNPoBY64/Bf7UuHEMj0bZWldHgyqD8vNtGtmklRF5AJP8DSBbgXGquqOtPH6WB7DrstxV2c/6MPtZH0I1UEFrvsJ1/uNEoE6veqH77nx0nUfV+z3Y/W5P2BIhhFBammDs2KqWq6SkmvYO4DUAm/zPXu9//R7gAQ8CD/uPS3H5C4cAV+NGfqwPs9+pkgcw6Qpggaru8J9bHkBzEMtdlf2sD7Of9WF6yVNOgqOFi3vEWdl/N03n7gbWkqchesWj1K2P8fJ7Hs+81Bd+M5Tu5HHmma2jhNOnu+nkY1WcSHDuvn0sSSTcGsdEgjmq/HLGDESE619/nX1FRS1rCyd4HmOiUQpsfWHWOCXyAAbcQOv0L7Sdx8/yABpjjMkoIkJJQQElBQVcGYjeapuaWF5dzZJgYNhzN7UTt7fUaajJ4+0NHi8u8eA+D9bHGJYT5Zyp4ZagcMIEyM09urYkj8BLUlV2NzS0TAdHgJUNDbwWOAJvbDRK+fTpAPx5+3ai4TDjPY9hBQWWpuYUlDEBoIhEgUuAzwaK0+bxszyAxhhjskVBOMzphYWcnrLhY0d9PUv8zSaL4nGW9EmwbMxWatVtM17bDBXbI/x5tQf3e+RtiTEh5jFzRIRzzhLOOit9fsJ0RITeeXktz2cBD02bRmNzM6traliSSLRsQAH49rp1bPFzGuaLMMbzuL64mG8OGgTAlro6+ufltaxZNNknYwJAVa0GeqWU7cbtCk5X/07gzjTlnwk8bvN+Y4wx5mTqm5dH3549+UDPni1lyYTWycBwSXGChYMSVDTsol5gPjC/NsTPNkThPpe7cGLM48JSj0um5jFlihBIRXhEOaEQYzyPMYHRQoBVZ57JCn/Ucql/1fv5b+qamymdO5eCUIhx0SjjPY/xnscHiooYb+sKs0bGBIAi8lXgM7hkzUtwJ4F8C7gFqPSrfUdVn/Xrfxv4NNAEfFlVX0jznj2Bv+LWwFYAH1PVvSf0GzHGGGOOUTCh9XWB8uqmJpb56/kWViV4J5pgxdDd7MvdzhvAG8APd+Ugv4nRJ+4xLuJxQYnHh073mDg855A0NEcSDYeZUljIlJRRS3Cpan41YgTlfmD49927eXD7du4eOpTxsRhb6ur4+LJljPdT7SQDxKKjnb82nSIjAkARGQh8GRirqjX+9O71/su/UNV7U+pbImhjjDFdRjQcZlq3bkzr1g36Ay5DDJX19SxJJHh7W4I36hOUl8bZEd3Ga3nNvAbcsQVC7xfQ54DH6DyPGQM9rh4Xo/E42hIJh/lsytzzzvp6wn6Uua+xkXpVl7+wqfXPcjKH4fqaGl7ft4/x/jpFS2x9cmREAOjLASIi0gBEcbt6S9uoa4mgjTHGdHl98vK4KC/PnUk81pU1q7ImUctzKxK8WhFncXWCrdEEc4p3MycEdy4HGoWeT73HiByPs/t5XFQaY1KhR8kx5g0sDqwvHOd5vD1lCqrKprq6lpHCaf5o4qv79vGZlSsBl/B6SEEB4z2P+4YPpzQS4UBjI3mhEPm28eSEyogAUFW3iMi9uI0aNcCLqvqiiJwDfElEPgHMA77uT+FaImhjjDEmjZAII2MRRk6LcNu03i3lO/Y08+T8al5eG+ed7bvY1a2ZstP2U5bYyS/LXZ38hjBDxeOM3u5KTt8GN5AcLRFhUEEBgwoKuCKwK/rmfv04v3v3lrWFSxMJyhMJYv5I4C82b+ZHFRWMjEbdiS3+OsNre/cm14LCDpMRiaBFpAgow63na/avu4CzcZs46oF84D1VvVFEZuOmgJf5b5EPfC9NIuj9uPQwpbg1gGcEE0MH6lki6CxhyUuzn/Vh9rM+zH7xeBzPi7FlS4T5q2LM25XPyoYQuwob0NJqGJKAwtaJ4sIGYVhYGRZyCaWHAINxiaY72hLcH+51uD/c24A84FkgBMzGJb4uwSXkfhfYjksJkuuX3wCc59/XWepxazEfwyXobjjB7TneRNCZEgB+DZfA/DTcv+FCYBFu2vZVVW0UkQeA61S1j4jcBcxS1X7+/S8Ad6jqOynvuwd4QFW/KyJ3Ap9T1cOm1pw2bZrOmzevg79D01EsAW32sz7MftaH2a+tPqyuhgULYG6ZMmdJPWWVCSq9hAsIhyQIDUnQnN/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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + const.tempCtoK, np.log(level/const.ps), 'b-' )\n",
    "ax.plot( oz_col.Tatm, np.log( pozcol / const.ps ), 'c-' )\n",
    "ax.plot( oz_col.Ts, 0, 'co', markersize=16 )\n",
    "ax.plot( oz_col2.Tatm, np.log( pozcol / const.ps ), 'c--' )\n",
    "ax.plot( oz_col2.Ts, 0, 'co', markersize=16 )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/const.ps) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue), RCE with ozone (cyan)', fontsize = 18)\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we find that the troposphere warms, while the stratosphere cools!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical structure of greenhouse warming in CESM model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "datapath = \"http://thredds.atmos.albany.edu:8080/thredds/dodsC/CESMA/\"\n",
    "atmstr = \".cam.h0.clim.nc\"\n",
    "\n",
    "cesm_ctrl = xr.open_dataset(datapath + 'som_1850_f19/clim/som_1850_f19' + atmstr)\n",
    "cesm_2xCO2 = xr.open_dataset(datapath + 'som_1850_2xCO2/clim/som_1850_2xCO2' + atmstr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;T&#x27; (time: 12, lev: 26, lat: 96, lon: 144)&gt;\n",
       "[4313088 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lev      (lev) float64 3.545 7.389 13.97 23.94 ... 867.2 929.6 970.6 992.6\n",
       "  * time     (time) object 0001-01-15 00:00:00 ... 0001-12-15 00:00:00\n",
       "  * lat      (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 84.32 86.21 88.11 90.0\n",
       "  * lon      (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Attributes:\n",
       "    mdims:         1\n",
       "    units:         K\n",
       "    long_name:     Temperature\n",
       "    cell_methods:  time: mean time: mean</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'T'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li><li><span class='xr-has-index'>lev</span>: 26</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-45c01725-065c-4d2c-b728-2675bf5929a7' class='xr-array-in' type='checkbox' checked><label for='section-45c01725-065c-4d2c-b728-2675bf5929a7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[4313088 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-8fe74659-9ad3-4c84-bd1d-b4918dd35038' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fe74659-9ad3-4c84-bd1d-b4918dd35038' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.545 7.389 13.97 ... 970.6 992.6</div><input id='attrs-4d0ec1e9-f1a4-4e35-86d5-ad2dcc48f36f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d0ec1e9-f1a4-4e35-86d5-ad2dcc48f36f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb4adb4c-351a-4eab-a6f2-2248e50f28d4' class='xr-var-data-in' type='checkbox'><label for='data-fb4adb4c-351a-4eab-a6f2-2248e50f28d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>hybrid level at midpoints (1000*(A+B))</dd><dt><span>units :</span></dt><dd>level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>standard_name :</span></dt><dd>atmosphere_hybrid_sigma_pressure_coordinate</dd><dt><span>formula_terms :</span></dt><dd>a: hyam b: hybm p0: P0 ps: PS</dd></dl></div><div class='xr-var-data'><pre>array([  3.544638,   7.388814,  13.967214,  23.944625,  37.23029 ,  53.114605,\n",
       "        70.05915 ,  85.439115, 100.514695, 118.250335, 139.115395, 163.66207 ,\n",
       "       192.539935, 226.513265, 266.481155, 313.501265, 368.81798 , 433.895225,\n",
       "       510.455255, 600.5242  , 696.79629 , 787.70206 , 867.16076 , 929.648875,\n",
       "       970.55483 , 992.5561  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-15 00:00:00 ... 0001-12-...</div><input id='attrs-4534fbc6-1bf2-4531-b4d4-3d02731e3970' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4534fbc6-1bf2-4531-b4d4-3d02731e3970' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f25653cd-f809-4721-b281-adc6ad8a2e26' class='xr-var-data-in' type='checkbox'><label for='data-f25653cd-f809-4721-b281-adc6ad8a2e26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1, 1, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 2, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 3, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 4, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 5, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 6, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 7, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 8, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 9, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 10, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 11, 15, 0, 0, 0, 0),\n",
       "       cftime.DatetimeNoLeap(1, 12, 15, 0, 0, 0, 0)], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-0cdb3b74-e7e6-4c51-85b2-86be76822db7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cdb3b74-e7e6-4c51-85b2-86be76822db7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97ad3c30-02df-4a30-ae56-df9b680ddc16' class='xr-var-data-in' type='checkbox'><label for='data-97ad3c30-02df-4a30-ae56-df9b680ddc16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-fe39e7b0-e0d0-4142-be23-3aca8b84f6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe39e7b0-e0d0-4142-be23-3aca8b84f6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79a93c2d-3aa5-42da-a76b-42c40a9f909e' class='xr-var-data-in' type='checkbox'><label for='data-79a93c2d-3aa5-42da-a76b-42c40a9f909e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec6ea99e-eba8-4401-b5d8-c196ee59308c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec6ea99e-eba8-4401-b5d8-c196ee59308c' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>mdims :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>cell_methods :</span></dt><dd>time: mean time: mean</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'T' (time: 12, lev: 26, lat: 96, lon: 144)>\n",
       "[4313088 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lev      (lev) float64 3.545 7.389 13.97 23.94 ... 867.2 929.6 970.6 992.6\n",
       "  * time     (time) object 0001-01-15 00:00:00 ... 0001-12-15 00:00:00\n",
       "  * lat      (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 84.32 86.21 88.11 90.0\n",
       "  * lon      (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Attributes:\n",
       "    mdims:         1\n",
       "    units:         K\n",
       "    long_name:     Temperature\n",
       "    cell_methods:  time: mean time: mean"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cesm_ctrl.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_cesm_ctrl_zon = cesm_ctrl.T.mean(dim=('time', 'lon'))\n",
    "T_cesm_2xCO2_zon = cesm_2xCO2.T.mean(dim=('time', 'lon'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "weight = np.cos(np.deg2rad(cesm_ctrl.lat)) / np.cos(np.deg2rad(cesm_ctrl.lat)).mean(dim='lat')\n",
    "\n",
    "T_cesm_ctrl_glob = (T_cesm_ctrl_zon*weight).mean(dim='lat')\n",
    "T_cesm_2xCO2_glob = (T_cesm_2xCO2_zon*weight).mean(dim='lat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure( figsize=(10,8) )\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot( Tglobal + const.tempCtoK, np.log(level/const.ps), 'b-' )\n",
    "ax.plot( oz_col.Tatm, np.log( pozcol / const.ps ), 'c-' )\n",
    "ax.plot( oz_col.Ts, 0, 'co', markersize=16 )\n",
    "ax.plot( oz_col2.Tatm, np.log( pozcol / const.ps ), 'c--' )\n",
    "ax.plot( oz_col2.Ts, 0, 'co', markersize=16 )\n",
    "ax.plot( T_cesm_ctrl_glob, np.log( cesm_ctrl.lev/const.ps ), 'r-' )\n",
    "ax.plot( T_cesm_2xCO2_glob, np.log( cesm_ctrl.lev/const.ps ), 'r--' )\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('Temperature (K)', fontsize=16)\n",
    "ax.set_ylabel('Pressure (hPa)', fontsize=16 )\n",
    "ax.set_yticks( np.log(level/const.ps) )\n",
    "ax.set_yticklabels( level.values )\n",
    "ax.set_title('Temperature profiles: observed (blue), RCE with ozone (cyan), CESM (red)', fontsize = 18)\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we find that CESM has the same tendency for increased CO2: warmer troposphere, colder stratosphere."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}